Udacity - Intro to Self-Driving Cars nd113 v1.0.0

磁力链接/BT种子名称

Udacity - Intro to Self-Driving Cars nd113 v1.0.0

磁力链接/BT种子简介

种子哈希：904352d7cda2eed4dcd892e43541f0eb845d30dc
文件大小： 3.35G
已经下载：1087次
下载速度：极快
收录时间：2021-03-25
最近下载：2025-01-01

移花宫入口

移花宫.com邀月.com怜星.com花无缺.comyhgbt.icuyhgbt.top

磁力链接下载

magnet:?xt=urn:btih:904352D7CDA2EED4DCD892E43541F0EB845D30DC
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 PIKPAK在线播放 91视频 含羞草 欲漫涩 逼哩逼哩 成人快手 51品茶 抖阴破解版 暗网禁地 91短视频 TikTok成人版 PornHub 草榴社区 乱伦社区 少女初夜 萝莉岛

最近搜索

文件列表

  • Part 01-Module 02-Lesson 02_Get Ready/05. The Great Robot Race-UFGu15hCtKg.mp4 315.9 MB
  • Part 05-Module 01-Lesson 03_Project Optimize Histogram Filter/02. Nd113 Running The Project V1--X1pB-HTdnQ.mp4 84.3 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/01. Meet Danny Shapiro At Nvidia-tglLnJNHSI4.mp4 45.3 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.mp4 42.4 MB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/06. More Kalman Filters-hUnTg5v4tDU.mp4 37.2 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-X7cixvcogl8.mp4 35.4 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/02. Introduction-Uqt_pRbR8rI.mp4 33.6 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/33. Bayes' Rule-sA5wv56qYc0.mp4 30.4 MB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/08. Kalman Filter Design-KYEr4BXhD_E.mp4 28.7 MB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 27.8 MB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/01. Meet Phantom Auto-D6-7L9nZMPY.mp4 27.8 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro-8O9GV4SUToA.mp4 26.8 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/38. Solution Step III-CRv1ogJYe8w.mp4 26.2 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-JsMwEH8cluU.mp4 25.8 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion-X7YggdDnLaw.mp4 25.7 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/48. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.mp4 24.9 MB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/03. Kalman Filter Land-LXJ5jrvDuEk.mp4 23.7 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/13. Images as Grids of Pixels-RVNiaZuv6Ss.mp4 23.7 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-FV_hc3MzS_8.mp4 23.1 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/37. Nd113 C7 33 L Features And Classification-Ni3ocWoUDPk.mp4 22.7 MB
  • Part 01-Module 01-Lesson 01_Introduction/01. Final Teaser ISDC-j7iB0p4dOj4.mp4 22.6 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/35. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.mp4 22.2 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-CNpSrdnYvbo.mp4 18.9 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/03. Localization-31xZhj2uPr4.mp4 18.7 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability-byZ-BzbQA5M.mp4 18.7 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2-rmWL_3r8MKo.mp4 18.4 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/36. Solution Step I-bIZgt0ttMeU.mp4 18.3 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-d8UrbKKlGxI.mp4 18.2 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-GHKKUR6tZE0.mp4 17.9 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.mp4 17.9 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/26. Bayes Rule Summary-RgXQ8GRsjfc.mp4 17.7 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/40. High Pass Filters-JOa9ZtV_rB4.mp4 17.1 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/18. Algorithm Pseudocode-Ei91QeYiG_E.mp4 16.9 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/09. What Are the Inputs-cAr-unfe-mg.mp4 16.6 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.mp4 16.6 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/07. Image Classification Pipeline-jfu6aqvU1vQ.mp4 16.4 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-K8g3Hss8Q1A.mp4 16.2 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.mp4 15.8 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-o2Tpws5C2Eg.mp4 15.7 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/29. Labeled Data and Accuracy-FN96OM_JGyM.mp4 15.4 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-8c479K2UCZo.mp4 15.3 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/30. Step Three daysBetweenDates-DOkkOsraobw.mp4 15.3 MB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-HTL5-0DDqE4.mp4 14.9 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.mp4 14.7 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/04. Nd113 C7 02 L Introducing Tarin V2-us2b__pBR8Y.mp4 14.7 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/09. Learning To Classify Images-_mE0nkLPSw0.mp4 14.3 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/25. Nd113 C7 23 L HSV Conversion-GbrJi0U8T20.mp4 14.0 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-3xBycKfnCOQ.mp4 13.9 MB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.mp4 13.8 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/43. Nd113 C7 40 L Convolution In Self-Driving Cars-nz7rOTZ99X4.mp4 13.7 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/02. Computer Vision and Sebastian-pil3PeZzCIY.mp4 13.7 MB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/02. Nd113 C6 L1 01 Inertial Navigation V1 (1)-vWgG0d2HOVE.mp4 13.5 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-eIjyrQpDogg.mp4 13.5 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-JIWv5fU3GLA.mp4 13.5 MB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/16. Nd113 Story 1 V1-lIe2zso8A-w.mp4 13.4 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/14. Bayes Rule Diagram-b8M9CWxRyQ4.mp4 13.1 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction-doyrdLJ6rJ4.mp4 13.0 MB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/02. Kalman Prediction-doyrdLJ6rJ4.mp4 13.0 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-Qttkfhh3I5s.mp4 12.6 MB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.mp4 12.6 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-HRepefDqkDM.mp4 12.5 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-7T1Rr7KLgdM.mp4 12.4 MB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.mp4 12.2 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/18. Total Probability-YSYpzFR4k1I.mp4 12.1 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1-_DjfTytro6I.mp4 12.0 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/22. Nd113 C7 20 L Green Screen Car V2-_YEdV_mRKXQ.mp4 11.9 MB
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-OpNufHYgJCg.mp4 11.9 MB
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles-fkUyTJNbdzU.mp4 11.8 MB
  • Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-27Ed1GI4j84.mp4 11.8 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/27. Nd113 C7 25 L Day And Night Classification NEEDS ANM V1-bsra6mwtw7U.mp4 11.7 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-R4zq6mPPMxs.mp4 11.6 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-_AhoOd8YUK0.mp4 11.6 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-TnFq6hufsYs.mp4 11.5 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-hoVOT8qcQ7c.mp4 11.5 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/04. Days Between Dates-VLrJ01wEajw.mp4 11.4 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/33. Sliding Blocks Puzzle 2-7vExAvX3LbI.mp4 11.4 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/01. Introduction-XZL934YQ-FQ.mp4 11.2 MB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.mp4 11.2 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/28. Step One Pseudocode-hJzpU5qC3hs.mp4 11.1 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/37. Solution Step II-SGC8UAz12Q4.mp4 11.1 MB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.mp4 11.0 MB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/10. L1 09 V2-b-zB9Bs8zKQ.mp4 10.9 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/05. Tree Search-lCuwrHKxNlU.mp4 10.8 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-trokjJravhc.mp4 10.8 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/16. Try an Example-X29RjzKHsWU.mp4 10.7 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/28. Localization Summary-MVbo4OAgQCc.mp4 10.6 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-SZ6Jg1wS604.mp4 10.6 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/32. Nd113 C7 29 L Features-HshygbfQylA.mp4 10.5 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-vasdN2Gol0M.mp4 10.4 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/50. Nd113 C7 47 L Outro-YbWjhAVvdKc.mp4 10.3 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/23. More Uniform Cost-8xH-3WtswDs.mp4 10.3 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/08. Dependent Things-NDL-rxSYJWo.mp4 10.3 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-N8dKtrrCZ7U.mp4 10.3 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-1s2dRczcu1A.mp4 10.2 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/15. Color Images--XbXiiGQ9gw.mp4 10.1 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-jR7FERpsqe4.mp4 10.0 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-yo8jf0U4hlc.mp4 9.9 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-gPfkboHV3QA.mp4 9.9 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-ASUXN9Ay35M.mp4 9.8 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/51. Ends and Beginnings-lCUkFi4fwLY.mp4 9.7 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-yYqN9Mf4jqw.mp4 9.7 MB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/img/self-driving-uber-prototype-in-san-francisco.jpg 9.7 MB
  • Part 02-Module 01-Lesson 03_Probability/25. Summary-hIEDvyCETEw.mp4 9.5 MB
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.mp4 9.5 MB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/15. L2 18 V2-nCJQl2kH8bY.mp4 9.4 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-kfPWiMsnWFI.mp4 9.3 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/31. Feature Extraction-DkmLO7PKhy8.mp4 9.3 MB
  • Part 09-Module 01-Lesson 01_Congratulations! You've finished!/01. Congratulations on completing Intro to Self-Driving Cars!-w640r8wujPw.mp4 9.2 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-wfjE0mVADIk.mp4 9.1 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro-lDykH1UHq38.mp4 9.1 MB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/07. Approximating The Integral-9C05AHzI_I8.mp4 9.0 MB
  • Part 01-Module 01-Lesson 01_Introduction/03. Meet The Team-U7OiT5kWlnQ.mp4 9.0 MB
  • Part 02-Module 01-Lesson 01_Introduction/01. The Wonderland of Probability and Bayes' Rule-gfFWpMehzpk.mp4 8.9 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/18. Pre-processing--h1GS0SEyzY.mp4 8.9 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-fRYtUP0P4Lg.mp4 8.7 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/10. What Is Machine Learning-3mzV7uQhEos.mp4 8.7 MB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/01. L2 01 V2-GRgbA3XBy6w.mp4 8.7 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/22. Don't Optimize Prematurely-uQDk8euwyDI.mp4 8.6 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-rczAG7meAY4.mp4 8.6 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-9R44IyZ-aQI.mp4 8.6 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/03. Welcome To Computer Vision-qAGnachIrxs.mp4 8.5 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/04. Example Route Finding-5lrkPKQwOFE.mp4 8.5 MB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.mp4 8.5 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/05. Nd113 C7 03 L Vision And SelfDriving Cars V1-dezDkQ47NaY.mp4 8.5 MB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/07. Power of Trigonometry-yLMTfBq_I3k.mp4 8.4 MB
  • Part 04-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.mp4 8.3 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/39. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.mp4 8.3 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-_AAkw_fynwc.mp4 8.2 MB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.mp4 8.1 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-TtmQ7YCw_1Y.mp4 8.1 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/20. Nd113 C7 19 L Color Masking-4U5fYTbSDg0.mp4 8.1 MB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/12. Working with Real Data-WvEcWtAz-OQ.mp4 8.0 MB
  • Part 01-Module 01-Lesson 01_Introduction/09. Intro to Self-Driving Cars Expectations for this Nanodegree-TTOhBB7QaUg.mp4 8.0 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-Lf2DYUCsUH4.mp4 7.9 MB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/10. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.mp4 7.9 MB
  • Part 02-Module 01-Lesson 01_Introduction/02. Course Overview-QTFIJNBXx9w.mp4 7.8 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/31. Sliding Blocks Puzzle-Dzah_49isp8.mp4 7.8 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-QCnPJcNprEU.mp4 7.8 MB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.mp4 7.8 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.mp4 7.8 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/15. Equivalent Diagram-aUFWZ2uJuBE.mp4 7.7 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-SW_wvez0izo.mp4 7.7 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/24. A Search-HNdOFYCtfu4.mp4 7.6 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/15. Separated Gaussians 2-edcfMK_bKXw.mp4 7.5 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability-PNiaE1fy-7k.mp4 7.5 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-OdVAt79eQak.mp4 7.4 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-Y7Mr_5Hfe24.mp4 7.4 MB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/09. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.mp4 7.3 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction-tSfmiuB9s2c.mp4 7.3 MB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/02. Kalman Prediction-tSfmiuB9s2c.mp4 7.3 MB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/09. Nd113 C2 L3 08 L Look At Where We Are V2-5EjWMSV-0wo.mp4 7.3 MB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/11. Defining The Derivative-043a3JRE1hU.mp4 7.2 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/03. Intro To Probability Distribution 2-PglBg4eb_5M.mp4 7.2 MB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/10. Rate Gyros-TmnecSf80b0.mp4 7.2 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/10. How Are Inputs Represented-kG94A6xHqZk.mp4 7.1 MB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/01. L3 01 V2-a_eHxfy5tnI.mp4 7.1 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-omC0zbJyzUY.mp4 7.0 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/35. A Note On Implementation-P3mkDcB-nqY.mp4 7.0 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Iz4ViIg9ZlQ.mp4 6.9 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/03. What Is A Problem-gepUYmWERZA.mp4 6.9 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/20. Different Approach-czjMsAXjWVg.mp4 6.9 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/45. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.mp4 6.9 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-SwxRWZaC1FM.mp4 6.6 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/35. Generalizing-SdMk3aROgSc.mp4 6.6 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/03. Como Resolver Problemas-E6t0oGRXXh8.mp4 6.6 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-EhLR8l5XAiQ.mp4 6.5 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.mp4 6.5 MB
  • Part 01-Module 02-Lesson 02_Get Ready/03. Intro to Self-Driving Cars Intro To Jupyter Notebooks-0-5VG9FsdQ0.mp4 6.5 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/07. Understanding a Problem-hkspB2e0S9A.mp4 6.5 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-v30w4s2djfc.mp4 6.5 MB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.mp4 6.4 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.mp4 6.4 MB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/17. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.mp4 6.4 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-5vjhu_cssNQ.mp4 6.3 MB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.mp4 6.3 MB
  • Part 06-Module 01-Lesson 02_Data Structures/01. Nd113 C5 L2 01 L Lesson Overview V1-LLrp9jq381k.mp4 6.3 MB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/12. Solving Trig Problems Part1-qI4i845d7Qg.mp4 6.3 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/02. Welcome to Search!-pHySYq-wghU.mp4 6.3 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-2T1JONL0WyE.mp4 6.2 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/24. Color Spaces and Transforms-qd49BIci-yw.mp4 6.2 MB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.mp4 6.1 MB
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.mp4 6.1 MB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/03. L1 02 B V2-AFuQ1i3eUN8.mp4 6.1 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-YCQWVwsCZCk.mp4 6.1 MB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/15. Conclusion-gMbDqd4ItiU.mp4 6.0 MB
  • Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.mp4 6.0 MB
  • Part 02-Module 01-Lesson 02_Joy Ride/01. Project Overview-Ij45-DpGejE.mp4 6.0 MB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/06. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.mp4 6.0 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-zc_GQiISQ3E.mp4 5.9 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/15. Take the Next Step-L4vB8eu6Wo8.mp4 5.8 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3-m1LSU9SPZ2k.mp4 5.8 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere-BlC2BwoDxL8.mp4 5.8 MB
  • Part 02-Module 01-Lesson 03_Probability/05. Probability-arJxFjaMsBM.mp4 5.8 MB
  • Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-gGgqTGZ9TKg.mp4 5.8 MB
  • Part 06-Module 01-Lesson 02_Data Structures/03. Nd113 C5 L2 03 L Design Tradeoffs V1-8IpVosy86Fo.mp4 5.7 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.mp4 5.7 MB
  • Part 06-Module 01-Lesson 02_Data Structures/02. Tracking Tickets RENDER 1 V1-6sbn7ECEOys.mp4 5.6 MB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.mp4 5.6 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.mp4 5.6 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-GO6kbL3QRBE.mp4 5.6 MB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/06. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.mp4 5.6 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/29. Step Two Helper Function-lpprz4op11k.mp4 5.5 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-PsyqM704q2Y.mp4 5.5 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/04. Using Sensor Data-vhl-SADfti8.mp4 5.5 MB
  • Part 01-Module 01-Lesson 01_Introduction/02. Intro to Self-Driving Cars Welcome From Sebastian-qZt87xwkHro.mp4 5.5 MB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/14. Nd113 C2 L3 17 L Car Class File V2-OOskkXm0mNc.mp4 5.4 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian--9AVZ-N_gbM.mp4 5.4 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/40. Conclusion-JmP5wzHFchc.mp4 5.4 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1--TBAfU1cjRU.mp4 5.4 MB
  • Part 06-Module 01-Lesson 02_Data Structures/19. Nd113 C5 L2 17 L Conclusion V1-a3Q8QSjpVHQ.mp4 5.4 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/06. Tree Search Continued-8yID2dTeBSM.mp4 5.4 MB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.mp4 5.4 MB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/22. State Vector-st26ov_TVwM.mp4 5.4 MB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/11. Car Object-SnfhGZ76h7Y.mp4 5.4 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-ZETmw5tFcFU.mp4 5.3 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/19. Should We Implement It-M62yGhjmJoA.mp4 5.3 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/27. Define daysBetweenDates-oM3oyyQKQFU.mp4 5.3 MB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/07. Quantifying State-9zMbwSqTZAc.mp4 5.3 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-tpsUlBbz5Jo.mp4 5.2 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-4jNzxstbCy0.mp4 5.2 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-0gcTEExMH3k.mp4 5.2 MB
  • Part 02-Module 01-Lesson 03_Probability/12. Probability In Robotics-BKLwvL1D0yE.mp4 5.1 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-cDub-OOrIRE.mp4 5.0 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-hzDsYZ61D5M.mp4 4.9 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/18. 17 - Uniform Cost Search 5-oiJLwSnrEDA.mp4 4.9 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/19. Should We Implement It-osHXLCQ9TKE.mp4 4.9 MB
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.mp4 4.8 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-QIQBb4nLsHc.mp4 4.8 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/34. Problems With Search-5RmTKsNoG6M.mp4 4.8 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-tiAFliSz9CY.mp4 4.8 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-tI0J14yQr1s.mp4 4.7 MB
  • Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes-YseJqD-1oUg.mp4 4.7 MB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/01. Introduction to Gaussian distributions-VQetR_9lBZc.mp4 4.7 MB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-SK3cnmu8BYU.mp4 4.7 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/32. Real World Problem-lY0CYTfkLWo.mp4 4.7 MB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.mp4 4.7 MB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/14. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.mp4 4.7 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/01. Reducing Uncertainty-zuFMhmKQ--o.mp4 4.6 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-2BfisMbu86o.mp4 4.6 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/19. Search Comparison-RMt_NiyY4nU.mp4 4.5 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/25. Making Progress Is Good-cUFZPid3yVw.mp4 4.5 MB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/07. L1 06 B V2-GRaIUM6s6B4.mp4 4.5 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-oFpvcWEllBs.mp4 4.5 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-UX3W8TUKbJ0.mp4 4.5 MB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.mp4 4.5 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2-WYA5Zbf8HC4.mp4 4.5 MB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.mp4 4.5 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-dyqgMA5zRko.mp4 4.5 MB
  • Part 03-Module 01-Lesson 05_Implement Matrix Class/01. Nd113P2 C2 L5 01 L Implement Matrix-0Ie9IxW9VDw.mp4 4.4 MB
  • Part 03-Module 01-Lesson 01_Section Overview/01. Introduction to Matrices-Ugx3mldc0lE.mp4 4.4 MB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/05. L1 04 B V2-jR7_6Zqq228.mp4 4.3 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements-gDO4sF8gR9k.mp4 4.3 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians-QAqsIWVVX0Y.mp4 4.3 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/12. Breath First Search 5-eyN4162UjH8.mp4 4.3 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/17. Uniform Cost Search 4-yO_uxVtEjq8.mp4 4.3 MB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/01. Localization Steps-4SiMoSTf4rQ.mp4 4.3 MB
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-1txkcmxk3vU.mp4 4.2 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-TGdMG81hXc8.mp4 4.1 MB
  • Part 02-Module 01-Lesson 03_Probability/23. Even Roll-M3L0a5V4Nf0.mp4 4.1 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/35. Finish daysBetweenDates--70lzVJyS8Y.mp4 4.1 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/01. Nd113 Navigating L1 01 V1-5tdMvdcUF-E.mp4 4.1 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/17. Density-4Ri4nhHKtU0.mp4 4.1 MB
  • Part 02-Module 01-Lesson 05_Programming Probability in Python/01. Learn by Doing-ypPeggeRdTE.mp4 4.1 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1--F2gJXWbN6s.mp4 4.1 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.mp4 4.0 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/12. Obey the Rules-NZq4vDooURs.mp4 4.0 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/01. About This Lesson-xEBSzD-fwps.mp4 4.0 MB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/11. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.mp4 4.0 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rules-CohZnkZMOxE.mp4 4.0 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/14. Uniform Cost Search 1-nBdlU4jIDqU.mp4 4.0 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/15. Uniform Cost Search 2-_cSf_1QNaOY.mp4 3.9 MB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/01. Nd113 C2 L3 01 L Connection To Kalman Filters V1-bwaakDKn4nI.mp4 3.9 MB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/03. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.mp4 3.9 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-GlmS_jox08s.mp4 3.9 MB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/33. Nd113 Matrices L3 12 V1-BRLmFGScL_k.mp4 3.9 MB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/06. Delta X Over Delta T-AsBTLDf0vQs.mp4 3.9 MB
  • Part 06-Module 01-Lesson 02_Data Structures/09. Nd113 C5 L2 08 L Keys And Values V1-1FO2KHIJYwY.mp4 3.8 MB
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1-lHuZpDkfwq8.mp4 3.8 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/24. Summary-w5fm_dJrImE.mp4 3.8 MB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/09. Always Moving-EQBQlHvxAQA.mp4 3.8 MB
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.mp4 3.8 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/39. Solution Step IV-H1oVKsgSsi0.mp4 3.8 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-qDGSvvabN18.mp4 3.8 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-nUxwwMNKIYo.mp4 3.8 MB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.mp4 3.8 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.mp4 3.8 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/07. Graph Search -A8GjRaPJQ5E.mp4 3.7 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-Iky7rJXQU_4.mp4 3.7 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/21. Search Comparison 2-Fh5b8xVJhR8.mp4 3.7 MB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/img/udacity-page-3-shades-1.jpg 3.7 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-btGdX0ZpkNU.mp4 3.7 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-F8AHaaJVmkw.mp4 3.6 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-aS0c5RrnPxU.mp4 3.6 MB
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.mp4 3.6 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/20. Search Comparison 1-JbJMxp3Lva4.mp4 3.6 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-OgC5M2XdIac.mp4 3.6 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability-Vohy3kpnBsk.mp4 3.6 MB
  • Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-dGffszQYzqc.mp4 3.5 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-lmuonrQp_lM.mp4 3.5 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-mQtjczyAxQs.mp4 3.5 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/15. Separated Gaussians 2-0FmTokjoRgo.mp4 3.5 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-HmcurWkA0fQ.mp4 3.5 MB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/27. Working With Matrices-nruxu8pr6i8.mp4 3.4 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.mp4 3.4 MB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.mp4 3.4 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-84mZj582H64.mp4 3.4 MB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/23. State Transformation Matrix-DRRuQMYo800.mp4 3.4 MB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/05. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.mp4 3.4 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-U8I0vgojlcY.mp4 3.3 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/08. The First Rule-yh00phtQ-vE.mp4 3.3 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.mp4 3.3 MB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/09. Nd113 C6 L3 09 L Trigonometric Ratios V2-wquwvrT9g_U.mp4 3.3 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.mp4 3.3 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-Lwn6FJgyyYI.mp4 3.2 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/30. Optimistic Heuristic-Q5YJtZc37uc.mp4 3.2 MB
  • Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-uhrL5fatt3E.mp4 3.1 MB
  • Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-bNoS6LQEFrI.mp4 3.1 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/28. A Search 4-B_rOIxwLzr8.mp4 3.1 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-5Tbd3_a5Vug.mp4 3.1 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/01. Conditional Probability-Fda3U2HGNVM.mp4 3.1 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/02. Bayes' Rule and Robotics-meNSO42JF6I.mp4 3.1 MB
  • Part 02-Module 01-Lesson 03_Probability/03. Learning Objectives Explained-tAkq3iZLJ-c.mp4 3.0 MB
  • Part 02-Module 01-Lesson 03_Probability/01. Nd113 C1 L3 01 L Introducing Uncertainty V1-NDOm-0qN8e8.mp4 3.0 MB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/08. Lesson Outline-jh7wLGXrm3E.mp4 3.0 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-CMQBKuYjPBM.mp4 3.0 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/04. Dependent Events and Conditional Probability-GDWdCH4ilDI.mp4 3.0 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-05upwXtARuo.mp4 2.9 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-7c7wYMftRSg.mp4 2.9 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-wN445aeFEFI.mp4 2.9 MB
  • Part 06-Module 01-Lesson 04_Implement Route Planner/01. Nd113 Navigating L3 01 V1-NGSaeofqZPc.mp4 2.8 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-mFfbts1lAEo.mp4 2.8 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-TxNrRo3jNAM.mp4 2.8 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-kieducUmiD0.mp4 2.8 MB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/04. Nd113 C6 L3 04 L Moving At An Angle V2-2KDq_ZzN3Mk.mp4 2.8 MB
  • Part 06-Module 01-Lesson 02_Data Structures/04. Nd113 C5 L02 04 L Three Approaches V1 RENDER V1-ptLUqOBlNzU.mp4 2.8 MB
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.mp4 2.8 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/02. Nd113 C5 L1 02 L About This Lesson V1-XOSFGuB2mRs.mp4 2.7 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-FnhHQht4vDo.mp4 2.7 MB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/19. Outro-K1Pj-cr1nFc.mp4 2.7 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-41HCYR-NW-w.mp4 2.7 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/02. Intro To Probability Distribution 1-gqPjMDVFvNg.mp4 2.7 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/17. Density-4FbhjgHIu10.mp4 2.7 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/32. Sliding Blocks Puzzle 1-jchVkcBg9HQ.mp4 2.6 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-7WNYd36EDh4.mp4 2.6 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-VLLG0rYC7To.mp4 2.6 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-gZbPZLFKS68.mp4 2.6 MB
  • Part 06-Module 01-Lesson 02_Data Structures/10. Nd113 C5 L02 09 L Adding Labels V2-VZcXBAHs5ts.mp4 2.6 MB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/04. Nd113 C6 L3 045 L Moving At An Angle Part2 V2-iI6zCp0RegM.mp4 2.5 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-sKiumVTdpgY.mp4 2.5 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-ys9w-NNKCcU.mp4 2.5 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-t22oDruXhuo.mp4 2.5 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-GqWszyHTYas.mp4 2.5 MB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/19. Nd113 C L2 01 V1-h_P7ceb5ido.mp4 2.4 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-udduksMWMB4.mp4 2.4 MB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/05. Nd113 C6 L3 05 L Moving At 53 Degrees V2-VmoknN6xLKs.mp4 2.4 MB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/01. Nd113 Bayesian L9 01 V1-dWLZSQiN5vI.mp4 2.4 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-3XiisY0IPPU.mp4 2.4 MB
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.mp4 2.4 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-6ZV_SjrnvJQ.mp4 2.4 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-q9698qIrPT0.mp4 2.3 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-4-0nBfsD4jo.mp4 2.3 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-9SbUxcyDTaQ.mp4 2.3 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/01. Probability Distribution-Srt0yZSCrbY.mp4 2.3 MB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.mp4 2.3 MB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/img/udacity-characters-bios-2.jpg 2.3 MB
  • Part 02-Module 01-Lesson 12_Histogram Filter in Python/01. Project Overview-uaWZNKGTtgM.mp4 2.3 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-V_Gqm42WodI.mp4 2.3 MB
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.mp4 2.3 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-68Kao9dkIKA.mp4 2.2 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Rf6WfB_1EJQ.mp4 2.2 MB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/11. Trigonometry And Vehicle Motion-WY3T-9GHI_0.mp4 2.2 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.mp4 2.2 MB
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.mp4 2.2 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-fAaE5K9OZJc.mp4 2.2 MB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/03. Motion Models-qSdbn_PVQnk.mp4 2.2 MB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-cUKlYjQEQGY.mp4 2.2 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-7k5oAaZamCA.mp4 2.1 MB
  • Part 01-Module 02-Lesson 02_Get Ready/01. Intro to Self-Driving Cars How Did You Do-LGZJrihKAg4.mp4 2.1 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-aBBmlnd7okQ.mp4 2.1 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/13. Uniform Cost Search-oPe45CJ_o0k.mp4 2.1 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/car-detection.png 2.1 MB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/img/udacity-page-1-shades.jpg 2.1 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-oqlgQa1IdcY.mp4 2.1 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.mp4 2.1 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/10. Breath First Search 3--ed_C9x8rWs.mp4 2.1 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/08. Breath First Search 1-70yXCOfKMPA.mp4 2.0 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/17. Harder Example--eAKNo9cA6Y.mp4 2.0 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-nYt9b_pNvEE.mp4 2.0 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2--wT7h9Gdm_8.mp4 2.0 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-TF6AWXSlOcY.mp4 2.0 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/02. Introduction To Conditional Probability--_j5NZN2Tfs.mp4 2.0 MB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/img/udacity-page-6-shades.jpg 2.0 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/25. A Search 1-yMUqkCzFXts.mp4 2.0 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-mGWGhgZG_jM.mp4 1.9 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/03. Estimating Based on Conditions-RAIkZUZ2BeY.mp4 1.9 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-PGG9agooCvw.mp4 1.8 MB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/08. Nd113 C6 L3 08 L Opposite Adjacent Hypotenuse V2-hJ-7qj9iHWo.mp4 1.8 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-96Cao3VKUok.mp4 1.8 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-EyE5vOSxPdI.mp4 1.8 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/09. Measurement and Motion 2-dwVwSZuJDBQ.mp4 1.8 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-pL8Bf6tck_A.mp4 1.8 MB
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-HohMRlmHoMQ.mp4 1.8 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6--lC9xztr4zA.mp4 1.8 MB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-JNDsm_Gzxi0.mp4 1.8 MB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/img/udacity-page-4-shades-2.jpg 1.8 MB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/img/udacity-page-2-shades.jpg 1.7 MB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/img/udacity-page-5-shades.jpg 1.7 MB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.mp4 1.7 MB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/img/crew-faces-shades-3.jpg 1.7 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-oZDLtTdhDy4.mp4 1.7 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-a61GPGk-Qy4.mp4 1.7 MB
  • Part 03-Module 01-Lesson 05_Implement Matrix Class/06. Nd113 Story 3 V1-Wa1CFHf3k54.mp4 1.7 MB
  • Part 06-Module 01-Lesson 02_Data Structures/05. Nd113 C5 L02 05 L Representing A Single Ticket V1 RENDER V1-wXTASv5R-VQ.mp4 1.7 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/11. Breath First Search 4-WOANyG8rf0k.mp4 1.7 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-oDPbdGXH5nE.mp4 1.7 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-U2tkinJKn28.mp4 1.7 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.mp4 1.7 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-hXyXlk0gYzk.mp4 1.7 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian-sBsju-6nQWI.mp4 1.6 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-BldUOLB2U1Y.mp4 1.6 MB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/05. A Different Model-Mh0g-SMpMI4.mp4 1.6 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/voyage-lidar-with-fg.png 1.6 MB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/voyage-lidar-bgonly.png 1.6 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-2cD8T65E-jM.mp4 1.6 MB
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1-T4A5uyqesjo.mp4 1.6 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-FQM7i07EqGo.mp4 1.6 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3--6l4_oprDOk.mp4 1.6 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-6c0XvswnGm0.mp4 1.5 MB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-1DVj00gpDOk.mp4 1.5 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/09. Measurement and Motion 2-1X8Tu6TmKhY.mp4 1.5 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-SYnYIjLpbjE.mp4 1.5 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.mp4 1.5 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/29. A Search 5-7d4iHfJXPso.mp4 1.4 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function-AMFig-sYGfM.mp4 1.4 MB
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-P4uljJ_OP6I.mp4 1.4 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/22. Search Comparison 3-4KHmQEoqmeI.mp4 1.4 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.mp4 1.4 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/27. A Search 3-POXZl2jVy_4.mp4 1.4 MB
  • Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-jPspIs-fNxg.mp4 1.4 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians-fGcozDEwnwY.mp4 1.3 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/27. A Search 3 Solution-Njd5k_I6Sqo.mp4 1.3 MB
  • Part 01-Module 01-Lesson 01_Introduction/10. Intro to Self-Driving Cars Readiness Introduction-sWKwL3NBa_E.mp4 1.3 MB
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-sNvQeSikRFY.mp4 1.3 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-V96RcbbVP7Q.mp4 1.3 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-cdFrLeXIkZU.mp4 1.3 MB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function-DV2cX9W0tT8.mp4 1.3 MB
  • Part 04-Module 01-Lesson 05_Python and C++ Speed/01. Introduction-JklGKdn3_go.mp4 1.3 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-ub9oMx2x-5c.mp4 1.2 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-RJFD5ok1ZIc.mp4 1.2 MB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/02. Intro To State-zfilXYrW4Gk.mp4 1.2 MB
  • Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-3NSPqjp6pFY.mp4 1.2 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/26. A Search 2-gYKBDz2kQJ8.mp4 1.2 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/09. Breath First Search 2-1VykygxreWg.mp4 1.2 MB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/img/animatedgears.gif 1.2 MB
  • Part 06-Module 01-Lesson 04_Implement Route Planner/04. Nd113 Navigating Last Video V1-yJfKK3Mg-BE.mp4 1.1 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-d_fbDqAGVdE.mp4 1.1 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/25. A Search 1 Solution-pfSya9ScozE.mp4 1.1 MB
  • Part 06-Module 01-Lesson 03_The Search Problem/16. Uniform Cost Search 3-_LtVDVBskhk.mp4 1.1 MB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/img/udacity-cover-shades-2.jpg 1.1 MB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/05. Nd113 C6 L3 055 L Moving At 53 Degrees Solution V2-Y_3M6eeYbd8.mp4 1.1 MB
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-64EjAbqrtmo.mp4 1.1 MB
  • Part 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-GMC_T-hbTlc.mp4 1.0 MB
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-HB8b7sZQFGs.mp4 1.0 MB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-hyAQ28MYmc4.mp4 1.0 MB
  • Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-x2o1g3J-1nw.mp4 944.3 kB
  • Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-uimwo-puQWY.mp4 942.9 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/09. Nd113 C6 L3 095 L Trigonometric Ratios Solution V2-c5iuVhWCOzc.mp4 940.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.mp4 923.9 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/26. A Search 2 Solution-kvDVL4G_njI.mp4 890.6 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-3.21.43-pm.png 873.4 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-xFFxdNj6pTA.mp4 845.1 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere-Ua8DCPx8lhk.mp4 844.7 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-dSyPBL0jozI.mp4 841.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-PE-k3PGXeLY.mp4 831.7 kB
  • Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.mp4 824.8 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-cw_zgQbAWNU.mp4 823.0 kB
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.mp4 817.0 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion-xNPEjY4dsds.mp4 812.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-W5i-gRAvZxs.mp4 772.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.mp4 771.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.mp4 765.6 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.mp4 765.1 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/img/udacity-challenge-shades-3.jpg 740.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.mp4 733.8 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-VDQK8gnETqw.mp4 729.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.mp4 688.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.mp4 688.1 kB
  • Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-rRPwknIDuI0.mp4 679.3 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-7.04.42-pm.png 678.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.mp4 666.1 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.mp4 655.0 kB
  • Part 08-Module 01-Lesson 02_Traffic Light Classifier/img/all-lights.png 630.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-G9yQ_URDrDQ.mp4 617.8 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/10. Objects-H8EBnCkKcds.mp4 601.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.mp4 553.6 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.mp4 541.6 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-7.33.33-pm.png 540.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.mp4 536.2 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-4.09.53-pm.png 527.0 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.mp4 518.2 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-Se-ddM2Wdac.mp4 496.3 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-7ZLe_JP5wRY.mp4 491.1 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability-zHAl87ITDik.mp4 488.2 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-goEMc0w58xM.mp4 484.7 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-7.26.29-pm.png 478.8 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-10.04.21-pm.png 472.7 kB
  • assets/img/udacimak.png 472.1 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/24. A Search Solution-_cPSOQ-sC2k.mp4 445.3 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.mp4 433.9 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.mp4 400.3 kB
  • Part 08-Module 01-Lesson 02_Traffic Light Classifier/img/processing-steps.png 370.4 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability-W9TOvnLH4fg.mp4 355.4 kB
  • Part 09-Module 02-Lesson 01_Guaranteed Admission into your next Nanodegree/img/screen-shot-2018-07-16-at-1.39.49-pm.png 347.6 kB
  • Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-pT0FXiH_5nI.mp4 320.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.mp4 291.7 kB
  • Part 01-Module 01-Lesson 01_Introduction/img/isdc-learning-plan-wk2.jpg 291.2 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-7.14.55-pm.png 289.8 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-3.21.09-pm.png 284.4 kB
  • Part 08-Module 01-Lesson 02_Traffic Light Classifier/img/feature-ext-steps.png 276.6 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-8.09.57-pm.png 267.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-5.41.01-pm.png 261.4 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-10.54.01-pm.png 243.7 kB
  • assets/js/katex.min.js 236.8 kB
  • Part 01-Module 01-Lesson 01_Introduction/img/isdc-learning-plan-wk1.jpg 229.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.mp4 223.5 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/img/gaussian.png 219.9 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/img/sdc-course-images-design-4.png 219.4 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/img/imu.jpg 201.4 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/img/matrix-addition.png 191.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-6.59.29-pm.png 183.1 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-7.13.50-pm.png 177.0 kB
  • index.html 156.8 kB
  • assets/css/bootstrap.min.css 140.9 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-10.59.26-pm.png 135.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-5.35.07-pm.png 134.3 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2018-01-16-at-5.55.04-pm.png 132.4 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-5.32.54-pm.png 129.5 kB
  • assets/js/plyr.polyfilled.min.js 129.2 kB
  • Part 01-Module 01-Lesson 01_Introduction/img/reviews-isdc.png 128.4 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/img/switch.png 125.8 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/screen-shot-2017-08-02-at-11.49.10-am.png 123.2 kB
  • Part 02-Module 01-Lesson 03_Probability/img/screen-shot-2017-08-08-at-1.48.37-pm.png 122.9 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/img/cover.jpg 116.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/img/108325419.gif 112.5 kB
  • Part 01-Module 01-Lesson 01_Introduction/img/knowledge-bar.png 112.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/img/108325385.gif 112.0 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/screen-shot-2017-08-02-at-11.40.37-am.png 110.8 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/img/vector-components-with-unit-vectors.svg.png 107.2 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2018-01-16-at-1.35.20-pm.png 104.1 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/img/gaussian2.png 102.9 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-9.55.38-pm.png 101.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/img/108325381.gif 99.5 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/img/48271967.gif 98.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/img/108325388.gif 98.4 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/img/matrix-multiplication-step4.png 96.5 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/img/odometer2.jpg 94.9 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/img/sdc-course-images-design-2.png 94.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/img/108325403.gif 93.4 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/img/48734324.gif 93.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/img/108325399.gif 90.8 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48240997.gif 90.7 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/img/matrix-multiplication-transpose-1.png 90.5 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-4.46.52-pm.png 90.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/img/108325395.gif 90.0 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48310768.gif 89.8 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48743074.gif 89.2 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/img/48271966.gif 88.8 kB
  • Part 04-Module 01-Lesson 02_C++ Vectors/img/copy-of-template.png 88.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48480561.gif 88.0 kB
  • assets/js/jquery-3.3.1.min.js 86.9 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/img/48716290.gif 86.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/img/48734092.gif 86.7 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48726280.gif 86.7 kB
  • Part 02-Module 01-Lesson 03_Probability/img/48667978.gif 86.5 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/img/matrix-multiplication-step2.png 86.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/screen-shot-2017-08-02-at-4.57.01-pm.png 86.0 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/img/screen-shot-2017-08-02-at-4.57.01-pm.png 86.0 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/img/48739228.gif 86.0 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48646780.gif 85.9 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/img/matrix-multiplication-step1.png 85.7 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/img/108325409.gif 85.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48445276.gif 85.2 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/img/48641639.gif 85.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48311832.gif 84.9 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48198839.gif 84.8 kB
  • Part 02-Module 01-Lesson 03_Probability/img/48752009.gif 84.4 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-09-27-at-1.33.14-pm.png 84.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48198838.gif 84.0 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48011955.gif 83.9 kB
  • Part 03-Module 01-Lesson 05_Implement Matrix Class/img/multiple-tabs.png 82.8 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48704300.gif 82.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48240998.gif 82.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48311831.gif 82.3 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/img/48624654.gif 81.8 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/img/48632848.gif 81.7 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48230510.gif 81.1 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/img/matrix-multiplication-identity-1.png 80.9 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/img/48204978.gif 80.8 kB
  • Part 02-Module 01-Lesson 03_Probability/img/48750031.gif 80.5 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/img/48713668.gif 79.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/img/48737024.gif 79.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48737119.gif 79.0 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/img/48452912.gif 78.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/img/48673630.gif 78.2 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/img/odometer.jpg 77.8 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-09-01-at-5.23.18-pm.png 77.7 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/img/copy-of-template-2.png 77.7 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48686674.gif 77.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/img/108325374.gif 77.0 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48241000.gif 76.5 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2018-01-16-at-6.01.18-pm.png 76.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48709280.gif 75.7 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/waymo-gray.jpg 74.9 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/img/48652467.gif 74.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48296523.gif 73.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48629196.gif 72.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48609553.gif 72.4 kB
  • Part 02-Module 01-Lesson 03_Probability/img/48667979.gif 72.1 kB
  • assets/css/fonts/KaTeX_AMS-Regular.ttf 71.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48480558.gif 71.0 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/img/48658914.gif 70.6 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/img/48658988.gif 70.1 kB
  • assets/css/fonts/KaTeX_Main-Regular.ttf 70.1 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/img/48734186.gif 70.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/img/48716197.gif 69.8 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/img/matrix-multiplication-identity-reverse.png 69.2 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/img/48660994.gif 69.0 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/img/48723422.gif 68.8 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/img/48480517.gif 68.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/img/48532602.gif 67.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/img/48734150.gif 67.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/img/48720159.gif 66.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/img/48641532.gif 66.3 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-10-06-at-2.47.00-pm.png 66.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/img/48735019.gif 65.7 kB
  • Part 02-Module 01-Lesson 03_Probability/img/48695597.gif 64.8 kB
  • Part 01-Module 01-Lesson 01_Introduction/img/screen-shot-2018-07-30-at-5.11.36-pm.png 64.6 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/img/48687753.gif 64.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/img/48728188.gif 64.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/img/48720151.gif 64.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/img/48734084.gif 63.6 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/img/48714247.gif 63.6 kB
  • Part 02-Module 01-Lesson 03_Probability/img/48698583.gif 62.6 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/img/48736093.gif 62.5 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/img/48632846.gif 62.1 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-4.58.18-pm.png 61.9 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48230509.gif 61.8 kB
  • assets/css/fonts/KaTeX_Main-Bold.ttf 61.7 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-4.44.35-pm.png 61.6 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/img/48204977.gif 61.3 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/img/48684624.gif 61.2 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/img/copy-of-template-1.png 61.1 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/img/48727441.gif 60.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/img/48734087.gif 60.9 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/img/48716288.gif 60.8 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/img/48703281.gif 60.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/img/48292975.gif 60.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/img/48271826.gif 60.1 kB
  • Part 02-Module 01-Lesson 03_Probability/img/48693692.gif 59.9 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/img/48714304.gif 59.9 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/img/48240966.gif 59.7 kB
  • Part 02-Module 01-Lesson 03_Probability/img/48688828.gif 59.4 kB
  • Part 02-Module 01-Lesson 03_Probability/img/48687795.gif 58.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/img/48722168.gif 58.7 kB
  • Part 02-Module 01-Lesson 03_Probability/img/48684742.gif 58.5 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-4.58.26-pm.png 58.4 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/img/while.png 58.2 kB
  • Part 02-Module 01-Lesson 03_Probability/img/48742066.gif 57.7 kB
  • Part 04-Module 01-Lesson 02_C++ Vectors/img/vectors.png 57.7 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/img/48723430.gif 57.0 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/img/48720246.gif 56.6 kB
  • Part 02-Module 01-Lesson 03_Probability/img/48699581.gif 56.5 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-09-06-at-12.01.37-pm.png 56.3 kB
  • Part 01-Module 02-Lesson 02_Get Ready/05. The Great Robot Race-UFGu15hCtKg.en.vtt 54.6 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/img/48738043.gif 54.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/img/48740026.gif 54.3 kB
  • Part 02-Module 01-Lesson 03_Probability/img/48698595.gif 54.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/img/48733100.gif 54.1 kB
  • Part 02-Module 01-Lesson 03_Probability/img/48667981.gif 53.8 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/img/48667873.gif 53.7 kB
  • Part 02-Module 01-Lesson 03_Probability/img/48741099.gif 53.6 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/img/48723440.gif 53.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/img/48667899.gif 53.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/img/48699502.gif 53.2 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/img/48741027.gif 53.2 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/img/48741027.gif 53.2 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-19-at-12.44.48-am.png 52.8 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/img/48738007.gif 52.6 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/img/48684703.gif 52.5 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/img/for.png 52.2 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/img/48664946.gif 52.0 kB
  • Part 01-Module 02-Lesson 02_Get Ready/05. The Great Robot Race-UFGu15hCtKg.zh-CN.vtt 51.1 kB
  • assets/js/bootstrap.min.js 51.0 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-09-03-at-2.53.30-pm.png 49.8 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2018-01-16-at-2.19.47-pm.png 49.1 kB
  • Part 02-Module 01-Lesson 03_Probability/img/48738115.gif 48.7 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-09-01-at-4.55.27-pm.png 48.6 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/img/screen-shot-2017-12-15-at-2.58.22-pm.png 48.5 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/img/menuopen.jpg 48.2 kB
  • assets/css/fonts/KaTeX_Main-Italic.ttf 48.0 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-09-01-at-4.59.24-pm.png 47.9 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-09-01-at-5.03.57-pm.png 45.7 kB
  • assets/js/jquery.mCustomScrollbar.concat.min.js 45.5 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-09-03-at-2.47.09-pm.png 45.1 kB
  • assets/css/fonts/KaTeX_Main-BoldItalic.ttf 44.8 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/img/transpose-1.png 43.0 kB
  • assets/css/jquery.mCustomScrollbar.min.css 42.8 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/img/transpose-2.png 42.6 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-10-06-at-2.10.13-pm.png 42.3 kB
  • assets/css/fonts/KaTeX_Math-Italic.ttf 41.4 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/img/untitled-drawing.jpg 41.2 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/img/emptyterminal.jpg 40.6 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/img/texteditor.jpg 40.4 kB
  • assets/css/fonts/KaTeX_AMS-Regular.woff 40.2 kB
  • assets/css/fonts/KaTeX_Math-BoldItalic.ttf 39.7 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/screen-shot-2017-12-18-at-4.53.46-pm.png 39.7 kB
  • assets/css/fonts/KaTeX_Main-Regular.woff 39.4 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-09-03-at-11.03.31-am.png 38.3 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-09-03-at-11.40.37-am.png 38.2 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/img/menu.jpg 37.2 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/img/files.jpg 37.1 kB
  • assets/css/fonts/KaTeX_Main-Bold.woff 36.8 kB
  • assets/css/fonts/KaTeX_Typewriter-Regular.ttf 36.3 kB
  • assets/css/fonts/KaTeX_Fraktur-Bold.ttf 36.0 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/img/cli.jpg 35.9 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-09-01-at-6.33.03-pm.png 35.3 kB
  • assets/css/fonts/KaTeX_Fraktur-Regular.ttf 34.7 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-10-06-at-2.53.07-pm.png 34.3 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-10-06-at-2.54.11-pm.png 34.3 kB
  • assets/css/fonts/KaTeX_SansSerif-Bold.ttf 34.0 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-09-27-at-1.55.25-pm.png 34.0 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-10-06-at-2.03.22-pm.png 33.9 kB
  • assets/css/fonts/KaTeX_AMS-Regular.woff2 33.2 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-09-01-at-6.31.45-pm.png 33.0 kB
  • assets/css/fonts/KaTeX_Main-Regular.woff2 32.9 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-10-18-at-11.52.10-am.png 32.6 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/car-green-screen.jpg 32.1 kB
  • Part 04-Module 01-Lesson 06_Translate Python to C++/img/screen-shot-2017-11-02-at-12.20.51-pm.png 32.0 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/img/screen-shot-2017-12-11-at-5.53.05-pm.png 32.0 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-10-06-at-2.51.24-pm.png 32.0 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-09-28-at-2.48.41-pm.png 31.9 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-09-28-at-2.47.09-pm.png 31.8 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-10-06-at-2.50.12-pm.png 31.7 kB
  • assets/css/fonts/KaTeX_SansSerif-Italic.ttf 31.3 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/img/gaussian-fill50.png 31.2 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-09-28-at-2.45.12-pm.png 30.8 kB
  • assets/css/fonts/KaTeX_Main-Bold.woff2 30.6 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/img/gaussian60.png 30.4 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/img/gaussian5.png 30.2 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/img/gaussian40.png 30.2 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/img/gaussian50.png 30.2 kB
  • assets/css/fonts/KaTeX_SansSerif-Regular.ttf 30.2 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/img/gaussian10.png 29.9 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/img/gaussian15.png 29.7 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/img/screen-shot-2017-12-11-at-5.41.28-pm.png 29.4 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/img/screen-shot-2017-12-12-at-3.44.23-pm.png 28.9 kB
  • Part 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/img/screen-shot-2017-08-02-at-4.14.11-pm.png 28.7 kB
  • Part 04-Module 01-Lesson 06_Translate Python to C++/03. Get the Starter Code.html 28.3 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/img/screen-shot-2017-12-15-at-11.14.19-am.png 27.3 kB
  • assets/css/fonts/KaTeX_Main-Italic.woff 27.2 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/img/probability-distributions.jpg 26.6 kB
  • assets/css/fonts/KaTeX_Main-BoldItalic.woff 26.2 kB
  • Part 03-Module 01-Lesson 05_Implement Matrix Class/img/notebooks-screenshot.png 25.7 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-09-01-at-6.35.20-pm.png 25.4 kB
  • Part 01-Module 01-Lesson 01_Introduction/img/screen-shot-2018-03-22-at-3.06.00-pm.png 25.2 kB
  • assets/css/fonts/KaTeX_Script-Regular.ttf 24.9 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/img/uniform-continuous.png 24.5 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/img/uniform-continuous.png 24.5 kB
  • assets/css/plyr.css 24.2 kB
  • assets/css/fonts/KaTeX_Math-Italic.woff 23.8 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-10-06-at-2.24.19-pm.png 23.4 kB
  • assets/css/fonts/KaTeX_Fraktur-Bold.woff 23.4 kB
  • assets/css/fonts/KaTeX_Math-BoldItalic.woff 23.2 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/11. Inclusion Guards.html 23.1 kB
  • assets/css/fonts/KaTeX_Main-Italic.woff2 23.1 kB
  • assets/css/fonts/KaTeX_Fraktur-Regular.woff 22.8 kB
  • Part 05-Module 01-Lesson 03_Project Optimize Histogram Filter/02. Nd113 Running The Project V1--X1pB-HTdnQ.en.vtt 22.6 kB
  • Part 02-Module 01-Lesson 03_Probability/img/intersections.jpg 22.5 kB
  • assets/css/fonts/KaTeX_Main-BoldItalic.woff2 22.2 kB
  • assets/css/katex.min.css 22.1 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/img/discrete-distribution.png 22.0 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/img/discrete-distribution.png 22.0 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/img/my-drawing.png 21.8 kB
  • Part 06-Module 01-Lesson 04_Implement Route Planner/img/screen-shot-2017-11-13-at-1.04.07-pm.png 21.6 kB
  • Part 05-Module 01-Lesson 03_Project Optimize Histogram Filter/02. Nd113 Running The Project V1--X1pB-HTdnQ.zh-CN.vtt 21.4 kB
  • assets/css/fonts/KaTeX_Typewriter-Regular.woff 20.9 kB
  • assets/css/fonts/KaTeX_Fraktur-Bold.woff2 20.5 kB
  • assets/css/fonts/KaTeX_Math-Italic.woff2 20.4 kB
  • Part 01-Module 01-Lesson 01_Introduction/img/isdc-knowledge.png 20.4 kB
  • assets/css/fonts/KaTeX_Math-BoldItalic.woff2 20.0 kB
  • assets/css/fonts/KaTeX_Fraktur-Regular.woff2 19.9 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/img/sdc-course-images-design-1.png 19.7 kB
  • assets/css/fonts/KaTeX_Caligraphic-Bold.ttf 19.6 kB
  • assets/css/fonts/KaTeX_SansSerif-Bold.woff 19.2 kB
  • assets/css/fonts/KaTeX_Caligraphic-Regular.ttf 19.0 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/img/full-matrix.png 18.7 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/20. Matrices in Python.html 18.7 kB
  • assets/css/fonts/KaTeX_SansSerif-Italic.woff 18.1 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/img/sdc-course-images-design-6.png 18.0 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/img/sdc-course-images-design-5.png 18.0 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/13. Representing State with Matrices.html 17.9 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/img/screen-shot-2017-12-15-at-9.49.09-am.png 17.8 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/05. Learning Objectives - Conditional Probability.html 17.8 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/17. Matrix Functions.html 17.7 kB
  • Part 02-Module 01-Lesson 03_Probability/18. Two Cars 1-5.html 17.6 kB
  • assets/css/fonts/KaTeX_Typewriter-Regular.woff2 17.5 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/img/screen-shot-2017-12-13-at-11.30.25-am.png 17.3 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/14. Class Function Declarations.html 17.2 kB
  • assets/css/fonts/KaTeX_SansSerif-Regular.woff 16.8 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/07. Learning Objectives - Conditional Probability.html 16.6 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/19. Instantiate an Object.html 16.5 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/25. Matrix Multiplication.html 16.3 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/06. Learning Objectives - Bayes' Rule.html 16.3 kB
  • Part 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/img/screen-shot-2017-08-02-at-4.01.24-pm.png 16.3 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/18. If and Boolean Logic.html 16.2 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/img/screen-shot-2017-12-15-at-9.49.56-am.png 16.2 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/15. Constructor Functions.html 16.1 kB
  • assets/css/fonts/KaTeX_SansSerif-Bold.woff2 16.0 kB
  • Part 02-Module 01-Lesson 03_Probability/img/untitled-presentation-4.png 15.7 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/img/untitled-presentation-4.png 15.7 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/04. Learning Objectives - Bayes' Rule.html 15.4 kB
  • assets/css/fonts/KaTeX_SansSerif-Italic.woff2 15.2 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/47. Convolutional Neural Networks.html 15.0 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/09. Private and Public.html 14.9 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/27. Transpose of a Matrix.html 14.9 kB
  • Part 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/11. Pattern Matching [exercise].html 14.8 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/11. Common Errors and Error Messages.html 14.8 kB
  • Part 04-Module 01-Lesson 03_Practical C++/04. Structuring Functions and File Organization.html 14.7 kB
  • Part 06-Module 01-Lesson 02_Data Structures/img/speed-test.png 14.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1.html 14.5 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/10. Memory and the CPU.html 14.3 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/31. Matrix Inverse.html 14.2 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/23. Matrix Addition.html 14.2 kB
  • Part 01-Module 01-Lesson 01_Introduction/img/waffle.png 14.2 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/02. Python vs. C++.html 14.1 kB
  • assets/css/fonts/KaTeX_SansSerif-Regular.woff2 14.0 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/img/temp.png 13.9 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/06. Kinematics.html 13.9 kB
  • assets/css/fonts/KaTeX_Script-Regular.woff 13.9 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/06. Practice Using a Class.html 13.8 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/16. Set and Get Functions.html 13.8 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/21. Installing OpenCV, Instructions.html 13.7 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/20. Switch Statement.html 13.7 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/16. Vectors in Python.html 13.7 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/43. Convolution in Self-Driving Cars.html 13.6 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/12. Quiz Choose Layers of Separation.html 13.6 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/06. Learning Objectives - Probability.html 13.6 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/img/embeddedlogo-04.png 13.5 kB
  • Part 02-Module 01-Lesson 03_Probability/04. Learning Objectives - Probability.html 13.5 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/40. High-pass Filter.html 13.5 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/04. Embedded Terminal Explanation.html 13.5 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/07. Image Classification Pipeline.html 13.3 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/24. Color Spaces and Transforms.html 13.3 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/03. Optimization Techniques.html 13.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move.html 13.2 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/29. Labeled Data and Accuracy.html 13.2 kB
  • assets/css/fonts/KaTeX_Size1-Regular.ttf 13.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs.html 13.2 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/33. Standardizing Output.html 13.1 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/06. LiDAR Data.html 13.0 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/10. Header Files.html 13.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/22. Green Screen Car.html 13.0 kB
  • Part 06-Module 01-Lesson 02_Data Structures/14. How Lists Work.html 13.0 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/05. A Different Model.html 12.9 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/13. Anatomy of a Function.html 12.9 kB
  • Part 04-Module 01-Lesson 03_Practical C++/06. Reading in Text Files.html 12.9 kB
  • Part 04-Module 01-Lesson 03_Practical C++/02. Running Code Locally.html 12.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution.html 12.8 kB
  • Part 06-Module 01-Lesson 02_Data Structures/04. Three Approaches.html 12.8 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/21. Libraries.html 12.7 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/04. Using a Class in C++ [Demo].html 12.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense.html 12.7 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/06. The Integral Area Under a Curve.html 12.7 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/02. Software Development and Optimization.html 12.7 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/29. The Identity Matrix.html 12.6 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/37. Features and Classification.html 12.6 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/img/screen-shot-2017-12-04-at-3.55.18-pm.png 12.6 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/24. Matrix Multiplication.html 12.6 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/16. Continuous Probability Distributions.html 12.6 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/10. What is Machine Learning.html 12.6 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/18. Use an Inclusion Guard.html 12.5 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/27. Day and Night Classification.html 12.5 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/48. Evaluation Metrics.html 12.4 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/19. While and For Loops.html 12.4 kB
  • assets/css/fonts/KaTeX_Size2-Regular.ttf 12.4 kB
  • Part 04-Module 01-Lesson 05_Python and C++ Speed/04. Moving in C++.html 12.4 kB
  • Part 02-Module 01-Lesson 03_Probability/img/heads-or-tails.jpeg 12.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/35. Finish daysBetweenDates.html 12.3 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/05. Python and C++ Comparison.html 12.3 kB
  • assets/css/fonts/KaTeX_Script-Regular.woff2 12.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion.html 12.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz.html 12.2 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/03. Course Overview.html 12.2 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/11. Training a Model.html 12.2 kB
  • assets/css/fonts/KaTeX_Caligraphic-Bold.woff 12.1 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/09. Learning to Classify Images.html 12.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements.html 12.1 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/03. Welcome to Computer Vision.html 12.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3.html 12.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/32. Features.html 12.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution.html 12.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/04. Introducing Tarin.html 11.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function.html 11.9 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/05. Vision and Self-Driving Cars.html 11.9 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/08. Quiz Classification Steps.html 11.9 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/20. Color Masking.html 11.9 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/45. Classification.html 11.9 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/50. Congratulations!!.html 11.9 kB
  • assets/css/fonts/KaTeX_Caligraphic-Regular.woff 11.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1.html 11.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2.html 11.9 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/35. Average Brightness.html 11.8 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/15. Color Images.html 11.8 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/05. Moving at 53.13 Degrees.html 11.8 kB
  • Part 04-Module 01-Lesson 02_C++ Vectors/06. Vectors and For Loops.html 11.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function.html 11.8 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/03. Learning from Sensor Data.html 11.7 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/07. Binary.html 11.7 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/07. Quantifying State.html 11.7 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/30. Distinguishing Traits.html 11.7 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/27. Define daysBetweenDates.html 11.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2.html 11.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss.html 11.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution.html 11.7 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/39. Filters and Finding Edges.html 11.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities.html 11.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function.html 11.6 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/25. HSV Conversion.html 11.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000.html 11.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function.html 11.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm.html 11.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice.html 11.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output.html 11.6 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/01. Localization Steps.html 11.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz.html 11.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function.html 11.5 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/09. Floating versus Double [demonstration].html 11.5 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/07. Review Anatomy of a Class.html 11.5 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/41. Quiz Kernels.html 11.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test.html 11.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay.html 11.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum.html 11.3 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/07. C++ - A Statically Typed Language.html 11.3 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/03. Intro to Probability Distributions Part Two.html 11.3 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison.html 11.3 kB
  • assets/css/fonts/KaTeX_Size4-Regular.ttf 11.3 kB
  • Part 04-Module 01-Lesson 02_C++ Vectors/08. 1D Vector Playground.html 11.3 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/38. Selecting Features.html 11.3 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities.html 11.2 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/05. Discrete vs. Continuous Variables.html 11.2 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/img/screen-shot-2017-12-15-at-2.29.58-pm.png 11.2 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/16. Color or Grayscale.html 11.2 kB
  • Part 04-Module 01-Lesson 02_C++ Vectors/02. Namespaces.html 11.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First.html 11.1 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/13. Images as Grids of Pixels.html 11.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy.html 11.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability.html 11.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior.html 11.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2.html 11.0 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1.html 11.0 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8.html 11.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/36. Notebook Average Brightness Feature Extraction.html 11.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/34. Notebook Standardizing Day and Night Images.html 11.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/49. Notebook Accuracy and Misclassification.html 11.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/44. Notebook Histograms and Feature Vectors.html 11.0 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/img/screen-shot-2017-12-15-at-9.48.11-am.png 11.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/28. Notebook Load and Visualize the Data.html 11.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/14. Notebook Images as Numerical Data.html 11.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/17. Notebook Visualizing RGB Channels.html 11.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3.html 11.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/23. Notebook Green Screen Background.html 11.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/19. Notebook Cropping and Resizing.html 11.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/26. Notebook Color Conversion.html 11.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/46. Notebook Classification.html 10.9 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/42. Notebook Finding Edges.html 10.9 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/19. Should We Implement It.html 10.9 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs.html 10.9 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction.html 10.9 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/23. State Transformation Matrix.html 10.9 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step.html 10.9 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/18. Pre-processing.html 10.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1.html 10.9 kB
  • Part 01-Module 01-Lesson 01_Introduction/04. Student Services.html 10.8 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/51. Ends and Beginnings!.html 10.8 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/01. Introduction.html 10.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test.html 10.8 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/09. Always Moving.html 10.8 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro.html 10.7 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next.html 10.7 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6.html 10.7 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5.html 10.7 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability.html 10.7 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/img/screen-shot-2017-12-15-at-9.51.10-am.png 10.7 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step.html 10.7 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/13. Class Variables.html 10.7 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/04. Dead Code.html 10.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz.html 10.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test.html 10.6 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.en.vtt 10.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3.html 10.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2.html 10.6 kB
  • assets/css/fonts/KaTeX_Caligraphic-Bold.woff2 10.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1.html 10.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3.html 10.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz.html 10.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/02. Introduction.html 10.6 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/09. Trigonometric Ratios.html 10.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2.html 10.5 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/08. Basic Data Types.html 10.5 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/02. Classifying Sebastian.html 10.4 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/09. Interpreting Position vs. Time Graphs.html 10.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6.html 10.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7.html 10.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5.html 10.4 kB
  • assets/css/fonts/KaTeX_Caligraphic-Regular.woff2 10.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2.html 10.4 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/31. Feature Extraction.html 10.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3.html 10.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4.html 10.4 kB
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2.html 10.4 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/02. Kalman Prediction.html 10.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4.html 10.3 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/20. Overloading Functions.html 10.3 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/12. C++ Functions.html 10.3 kB
  • Part 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/01. Bayes' Rule Steps.html 10.3 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton.html 10.3 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/05. Quiz Tree Search.html 10.3 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/02. Differentiation Recap.html 10.3 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/14. Kalman Equation Reference.html 10.2 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home.html 10.2 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/14. References.html 10.2 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/25. Quiz A Search 1.html 10.2 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/26. Quiz A Search 2.html 10.2 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/10. Quiz Breadth First Search 3.html 10.2 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/img/wheeloffortune.png 10.2 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/01. Deep Learning at NVIDIA.html 10.2 kB
  • Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3.html 10.2 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/25. 1D State Vector and More Multiplication.html 10.2 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/02. Intro to State.html 10.1 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/03. Motion Models.html 10.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer.html 10.1 kB
  • Part 04-Module 01-Lesson 02_C++ Vectors/01. C++ Vectors.html 10.1 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties.html 10.1 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/15. What is a vector.html 10.0 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/27. Quiz A Search 3.html 10.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.ru.vtt 10.0 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density.html 10.0 kB
  • Part 06-Module 01-Lesson 02_Data Structures/img/pos-v-time.png 9.9 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/02. Continuous Distributions.html 9.9 kB
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins.html 9.9 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/07. Reducing Delta t.html 9.9 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/07. A Note on Notation.html 9.8 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/11. Simplifying the Kalman Filter Equations.html 9.8 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/11. Car Object.html 9.8 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/05. Explanation of the Main.cpp File.html 9.8 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/11. Visualizing Piece-wise Uniform Distributions.html 9.8 kB
  • Part 06-Module 01-Lesson 02_Data Structures/18. Choosing good data structures.html 9.8 kB
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1.html 9.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/04. Total Probability.html 9.8 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8.html 9.7 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7.html 9.7 kB
  • Part 06-Module 01-Lesson 02_Data Structures/02. Tracking Tickets.html 9.7 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/24. Quiz A Search.html 9.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/02. Introduction-Uqt_pRbR8rI.bn.vtt 9.7 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1.html 9.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/03. Localization.html 9.7 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4.html 9.7 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3.html 9.6 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/08. Quiz Breadth First Search 1.html 9.6 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/13. Differential Notation.html 9.6 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/06. If Statements.html 9.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/38. Solution Step III.html 9.6 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2.html 9.6 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/07. Quiz Graph Search.html 9.6 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1.html 9.6 kB
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1.html 9.6 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/04. Gaussian Equation.html 9.6 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/09. Area Under the Curve.html 9.6 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/17. Static Keyword.html 9.6 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/17. Density.html 9.5 kB
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3.html 9.5 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code.html 9.5 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6.html 9.5 kB
  • Part 02-Module 01-Lesson 03_Probability/23. Even Roll.html 9.5 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5.html 9.5 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4.html 9.5 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2.html 9.5 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/06. Discrete Probability Distributions.html 9.5 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/06. Challenge Localization.html 9.5 kB
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1.html 9.5 kB
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5.html 9.5 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/39. Solution Step IV.html 9.5 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1.html 9.5 kB
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1.html 9.5 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/15. Quiz Uniform Cost Search 2.html 9.5 kB
  • Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2.html 9.5 kB
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin.html 9.5 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians.html 9.5 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name.html 9.4 kB
  • Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2.html 9.4 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.zh-CN.vtt 9.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/15. Separated Gaussians 2.html 9.4 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/12. Challenge Shortest Path.html 9.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/09. Measurement and Motion 2.html 9.4 kB
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles.html 9.4 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3.html 9.4 kB
  • Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4.html 9.4 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/04. Moving at an Angle.html 9.4 kB
  • Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2.html 9.4 kB
  • Part 06-Module 01-Lesson 02_Data Structures/img/size-vs-time.png 9.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/22. Don't Optimize Prematurely.html 9.4 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/19. Quiz Search Comparison.html 9.3 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/05. Reasoning About Two Peaks.html 9.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/05. Attempting the Problem [workspace].html 9.3 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/13. Quiz Uniform Cost Search.html 9.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/10. How Are Inputs Represented.html 9.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/34. Completing the Problem.html 9.3 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/16. Quiz Uniform Cost Search 3.html 9.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/29. Step Two Helper Function.html 9.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/25. Making Progress Is Good.html 9.3 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/14. Quiz Uniform Cost Search 1.html 9.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/07. Understanding a Problem.html 9.3 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/21. Quiz Search Comparison 2.html 9.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/03. How to Solve Problems.html 9.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/20. Different Approach.html 9.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/28. Localization Summary.html 9.2 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density.html 9.2 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/17. Quiz Uniform Cost Search 4.html 9.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/36. Solution Step I.html 9.2 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/15. Equivalent Diagram.html 9.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/30. Step Three daysBetweenDates.html 9.2 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview.html 9.2 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/32. Sliding Blocks Puzzle 1.html 9.2 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/03. Intro to Computer Hardware.html 9.2 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/31. Quiz Sliding Blocks Puzzle.html 9.2 kB
  • Part 04-Module 01-Lesson 02_C++ Vectors/09. 2D Vectors.html 9.2 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density.html 9.1 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2.html 9.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/18. Algorithm Pseudocode.html 9.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/28. Step One Pseudocode.html 9.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/09. What Are the Inputs.html 9.1 kB
  • Part 04-Module 01-Lesson 02_C++ Vectors/04. Initializing Vector Values.html 9.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/15. Take the Next Step.html 9.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/04. Days Between Dates.html 9.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/32. Real World Problem.html 9.1 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/28. Quiz A Search 4.html 9.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/37. Solution Step II.html 9.1 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2.html 9.1 kB
  • Part 04-Module 01-Lesson 02_C++ Vectors/11. 2D Vector Playground.html 9.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability.html 9.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/08. The First Rule.html 9.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/17. Harder Example.html 9.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/12. Obey the Rules.html 9.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/16. Try an Example.html 9.1 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/06. More Kalman Filters.html 9.1 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/06. Standard Deviation.html 9.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/40. Conclusion.html 9.1 kB
  • Part 05-Module 01-Lesson 03_Project Optimize Histogram Filter/01. Overview.html 9.0 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/01. Lesson Overview.html 9.0 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/02. Intro to Conditional Probability.html 9.0 kB
  • Part 08-Module 01-Lesson 02_Traffic Light Classifier/01. Project Overview.html 9.0 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/14. A Typical Calculus Problem.html 9.0 kB
  • Part 02-Module 01-Lesson 05_Programming Probability in Python/15. Probability of Collision [exercise].html 9.0 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere.html 9.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/33. Bayes' Rule.html 8.9 kB
  • Part 08-Module 01-Lesson 02_Traffic Light Classifier/Project Rubric - Traffic Light Classifier.html 8.9 kB
  • Part 03-Module 01-Lesson 05_Implement Matrix Class/Project Rubric - Implement a Matrix Class.html 8.9 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/14. Bayes Rule Diagram.html 8.9 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/12. The Rest of the Lesson.html 8.9 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/02. Introduction.html 8.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance.html 8.9 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/03. Estimating Based on Conditions.html 8.9 kB
  • Part 04-Module 01-Lesson 05_Python and C++ Speed/03. Moving in Python.html 8.9 kB
  • Part 02-Module 01-Lesson 05_Programming Probability in Python/16. Probability of Collision [solution].html 8.9 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability.html 8.9 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/04. Quiz Predicting State.html 8.9 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3.html 8.9 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability.html 8.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction.html 8.8 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak.html 8.8 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/02. About this Lesson.html 8.8 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/05. Afternoon Drive.html 8.8 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function.html 8.8 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density.html 8.8 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability.html 8.8 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rule.html 8.8 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro.html 8.8 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/08. Kalman Filter Design.html 8.8 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/19. Guide to Mathematical Notation.html 8.8 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/26. Bayes Rule Summary.html 8.8 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/26. Coding Matrix Multiplication.html 8.8 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/06. Tree Search Continued.html 8.8 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/22. Coding Matrices (Solution).html 8.8 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/01. Course Overview.html 8.8 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/18. Coding Vectors (solution).html 8.8 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/30. Coding Identity Matrix.html 8.8 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/24. Coding Matrix Addition.html 8.8 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/32. Coding Matrix Inverse.html 8.8 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/15. 1-D Car World Solution.html 8.8 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/28. Coding the Transpose.html 8.8 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean.html 8.8 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/21. Coding Matrices.html 8.8 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/17. Coding Vectors.html 8.8 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion.html 8.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2.html 8.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update.html 8.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian.html 8.7 kB
  • Part 02-Module 01-Lesson 03_Probability/12. Probability in Robotics.html 8.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian.html 8.7 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/12. Vector Storage.html 8.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/35. Generalizing.html 8.6 kB
  • Part 04-Module 01-Lesson 02_C++ Vectors/07. Math and Vectors.html 8.6 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/33. What to Take Away from this Lesson.html 8.6 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/16. Turn Right.html 8.6 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/22. State Vector.html 8.6 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/17. Position, Velocity, and Acceleration.html 8.5 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/05. Mean.html 8.5 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/10. Intermediate Variables.html 8.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/02. Bayes' Rule and Robotics.html 8.5 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/02. Programming Probability Distributions.html 8.5 kB
  • Part 03-Module 01-Lesson 05_Implement Matrix Class/03. Project Instructions.html 8.5 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/12. Central Limit Theorem [Optional].html 8.5 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/08. Opposite, Adjacent, Hypotenuse.html 8.5 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/03. Kalman Filter Land.html 8.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/01. Reducing Uncertainty.html 8.5 kB
  • Part 07-Module 01-Lesson 04_Reconstructing Trajectories from Sensor Data/01. Project Overview.html 8.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/04. Using Sensor Data.html 8.4 kB
  • Part 01-Module 01-Lesson 01_Introduction/06. Deadline Policy.html 8.4 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/13. Car Class.html 8.4 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/08. Lesson Outline.html 8.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/01. About this Lesson.html 8.4 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/01. Connection to Kalman Filters.html 8.4 kB
  • Part 02-Module 01-Lesson 03_Probability/01. Uncertainty in Driving.html 8.4 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/10. The Kalman Filter Equations.html 8.4 kB
  • assets/css/fonts/KaTeX_Size3-Regular.ttf 8.4 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/18. Uniform Cost Search 5.html 8.4 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/35. A Note on Implementation.html 8.4 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-09-28-at-2.41.26-pm.png 8.3 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/09. Let's Look at Where we Are.html 8.3 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/33. Sliding Blocks Puzzle 2.html 8.3 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/12. Breadth First Search 5.html 8.3 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/09. Breadth First Search 2.html 8.3 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/11. Breadth First Search 4.html 8.3 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/04. Example Route Finding.html 8.3 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/15. How Odometers Work.html 8.3 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/14. Multiple Outputs.html 8.3 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/30. Optimistic Heuristic.html 8.3 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/34. Problems with Search.html 8.3 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/20. Search Comparison 1.html 8.3 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/22. Search Comparison 3.html 8.3 kB
  • Part 04-Module 01-Lesson 03_Practical C++/03. C++ Versions.html 8.3 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/03. What Is A Problem.html 8.3 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/23. On Uniform Cost.html 8.3 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian.html 8.3 kB
  • Part 02-Module 01-Lesson 03_Probability/02. Uncertainty in Robotics.html 8.3 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/29. A Search 5.html 8.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/29. Nanodegree Note.html 8.3 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/10. Objects.html 8.3 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1.html 8.2 kB
  • Part 02-Module 01-Lesson 05_Programming Probability in Python/02. Your First Programming Practice!.html 8.2 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/19. Color Class.html 8.2 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/img/speedo.jpeg 8.2 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/27. Working with Matrices.html 8.2 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/14. Car Class File.html 8.2 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/10. Challenge Planning.html 8.1 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/09. Notation Note.html 8.1 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/15. Look at the Class Code.html 8.1 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/index.html 8.1 kB
  • Part 08-Module 01-Lesson 02_Traffic Light Classifier/02. Project Instructions.html 8.1 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/img/strange-distribution.png 8.0 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/08. For Loops.html 8.0 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/09. Continuous Variables.html 8.0 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/08. Challenge Changing Tire Size.html 8.0 kB
  • Part 04-Module 01-Lesson 03_Practical C++/08. Exercises.html 8.0 kB
  • Part 04-Module 01-Lesson 03_Practical C++/07. Outputting to Text Files.html 8.0 kB
  • Part 01-Module 01-Lesson 01_Introduction/05. Community Code of Conduct.html 8.0 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/03. Elecia White.html 8.0 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/12. Interacting with a Car Object.html 7.9 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/21. Overloading Color Addition.html 7.9 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/18. Instantiate Multiple Cars.html 7.9 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/26. Modify Predict State.html 7.9 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/07. Discrete Probability [Exercise].html 7.9 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/06. Who Cares About 53.13 Degrees.html 7.8 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2.html 7.8 kB
  • Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes.html 7.8 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/08. Other Facets of C++ Classes.html 7.8 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction.html 7.8 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/18. Total Probability.html 7.7 kB
  • Part 04-Module 01-Lesson 03_Practical C++/01. Introduction to Compilation.html 7.7 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/img/2vector-columns.png 7.7 kB
  • Part 06-Module 01-Lesson 04_Implement Route Planner/Project Rubric - Implement Route Planner.html 7.7 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/08. Discrete Probability [Exercise] Solution.html 7.6 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/12. Visualizing Piece-Wise Distributions [exercise].html 7.6 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/09. Visualizing Uniform Distributions [exercise].html 7.6 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/07. Function Improvements Solution.html 7.6 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/23. Summary.html 7.6 kB
  • Part 06-Module 01-Lesson 02_Data Structures/12. Performance Considerations.html 7.6 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/08. Plotting in Python [demonstration].html 7.6 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/06. Function Improvements [exercise].html 7.6 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/04. Uniform Distribution [exercise].html 7.6 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/03. Math in Python [demonstration].html 7.6 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/16. 2-D Car World [demonstration].html 7.6 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/03. Gaussian Distributions.html 7.6 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/14. 1-D Car World [exercise].html 7.6 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/17. 2-D Car World [exercise].html 7.6 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/18. 2-D Car World Solution.html 7.6 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/03. Acceleration Basics.html 7.6 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/img/copy-of-vector-example.png 7.5 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/05. Learning Objective Recap Explained.html 7.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/02. Introduction-Uqt_pRbR8rI.ru.vtt 7.5 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/08. Dependent Things.html 7.5 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/img/example-trajectory.png 7.5 kB
  • Part 07-Module 01-Lesson 04_Reconstructing Trajectories from Sensor Data/img/example-trajectory.png 7.5 kB
  • Part 02-Module 01-Lesson 03_Probability/05. Probability.html 7.4 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/24. Summary.html 7.4 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/02. Intro to Probability Distributions Part One.html 7.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/01. Introduction.html 7.4 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/17. Adding Color.html 7.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-JsMwEH8cluU.ar.vtt 7.4 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/04. Challenge Rotation.html 7.3 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/14. Sensor Strengths and Weaknesses.html 7.3 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/06. Delta x over Delta t.html 7.3 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/01. Probability Distributions.html 7.3 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/12. Understanding the Derivative.html 7.3 kB
  • Part 06-Module 01-Lesson 02_Data Structures/11. Implementing Labels (and Introducing Sets).html 7.3 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/18. Implement an Accelerometer.html 7.3 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/01. Prepare for a Challenge.html 7.3 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/08. Plotting Position vs. Time.html 7.3 kB
  • Part 02-Module 01-Lesson 03_Probability/25. Summary.html 7.3 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/16. Speed from Position Data.html 7.3 kB
  • Part 06-Module 01-Lesson 02_Data Structures/15. Performance of Sets and Dictionaries.html 7.3 kB
  • Part 06-Module 01-Lesson 02_Data Structures/06. The problems with strings and lists.html 7.3 kB
  • Part 06-Module 01-Lesson 02_Data Structures/17. Other Data Structures [optional].html 7.3 kB
  • Part 06-Module 01-Lesson 02_Data Structures/13. Lists, Timing, and Performance.html 7.3 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/20. Running your Program Locally.html 7.3 kB
  • Part 06-Module 01-Lesson 02_Data Structures/08. Intro to Dictionaries 2.html 7.3 kB
  • Part 06-Module 01-Lesson 02_Data Structures/07. Intro to Dictionaries.html 7.3 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/19. Conclusion.html 7.2 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/04. Inertial Navigation Sensors.html 7.2 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/04. Dependent Events and Conditional Probability.html 7.2 kB
  • Part 02-Module 01-Lesson 02_Joy Ride/01. Project Overview.html 7.2 kB
  • Part 02-Module 01-Lesson 05_Programming Probability in Python/08. Python's random Library [demonstration].html 7.2 kB
  • Part 02-Module 01-Lesson 05_Programming Probability in Python/12. Simulating Probabilities [demonstration].html 7.2 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/11. Defining the Derivative.html 7.2 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/13. Visualizing Piece-Wise Distributions Solution.html 7.2 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/06. Assembly Language.html 7.2 kB
  • Part 02-Module 01-Lesson 05_Programming Probability in Python/07. List Comprehensions [demonstration].html 7.2 kB
  • Part 02-Module 01-Lesson 05_Programming Probability in Python/13. Python Control Flow [demonstration].html 7.2 kB
  • Part 02-Module 01-Lesson 05_Programming Probability in Python/10. Simulating Coin Flips [playground].html 7.2 kB
  • Part 02-Module 01-Lesson 05_Programming Probability in Python/03. Python Variables [demonstration].html 7.2 kB
  • Part 02-Module 01-Lesson 05_Programming Probability in Python/06. Lists and Loops [demonstration].html 7.2 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/05. Uniform Distribution Solution.html 7.2 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/11. Exercise Intermediate Variables.html 7.2 kB
  • Part 02-Module 01-Lesson 05_Programming Probability in Python/04. Data Types [demonstration].html 7.1 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/13. Images as Grids of Pixels-RVNiaZuv6Ss.en.vtt 7.1 kB
  • Part 02-Module 01-Lesson 05_Programming Probability in Python/11. Functions [demonstration].html 7.1 kB
  • Part 02-Module 01-Lesson 05_Programming Probability in Python/05. For Loops [demonstration].html 7.1 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/05. Exercise Remove Dead Code.html 7.1 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/13. Exercise Vector Storage.html 7.1 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/18. Exercise Static Keyword.html 7.1 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/07. Exercise If Statements.html 7.1 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/15. Exercise References.html 7.1 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/09. Exercise For Loops.html 7.1 kB
  • Part 06-Module 01-Lesson 02_Data Structures/16. How Sets and Dictionaries Work.html 7.1 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/12. Implement a Class.html 7.1 kB
  • Part 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/06. Testing Bayes' Rule.html 7.1 kB
  • Part 04-Module 01-Lesson 02_C++ Vectors/05. Vector Methods.html 7.1 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/10. Average vs. Instantaneous Speed.html 7.1 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/01. Conditional Probability.html 7.1 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/01. Lesson Introduction.html 7.0 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/14. Thanks for Helping Carla!.html 7.0 kB
  • Part 02-Module 01-Lesson 03_Probability/03. Learning Objectives Explained.html 7.0 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/10. Visualizing Uniform Distributions Solution.html 7.0 kB
  • assets/css/fonts/KaTeX_Size1-Regular.woff 7.0 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/21. A Break from Kalman Filters.html 7.0 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/02. Plotting Robot Motion (right angles only).html 6.9 kB
  • Part 04-Module 01-Lesson 03_Practical C++/05. Input and Output.html 6.9 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/14. Keeping Track of x and y (solution).html 6.9 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/03. Plotting Robot Motion Solution .html 6.9 kB
  • Part 02-Module 01-Lesson 05_Programming Probability in Python/14. Exercises.html 6.9 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/10. Looking up Sin, Cos, and Tan.html 6.9 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/13. Keeping Track of x and y.html 6.9 kB
  • Part 06-Module 01-Lesson 02_Data Structures/05. Representing a Single Ticket.html 6.9 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/06. Static vs Dynamic Typing.html 6.9 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/22. Forge on!.html 6.9 kB
  • Part 02-Module 01-Lesson 05_Programming Probability in Python/09. Learning with Playgrounds.html 6.9 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why use Object Oriented Programming.html 6.9 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/08. Approximating Integrals with Code.html 6.9 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/10. Doubles are Bigger.html 6.9 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/09. Integrating Accelerometer Data.html 6.9 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/04. Plotting Elevator Acceleration.html 6.9 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/11. Integrating Rate Gyro Data.html 6.8 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/02. Inertial Navigation.html 6.8 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/13. Accumulating Errors.html 6.8 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/01. Introduction.html 6.8 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/19. Summary.html 6.8 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/10. Calculating Area Under the Curve in Python.html 6.8 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/07. Plotting Gaussians in Python [exercise].html 6.8 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/04. Why C++.html 6.8 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/13. Central Limit Theorem [Optional Demo].html 6.8 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/07. The Power of Trigonometry.html 6.8 kB
  • Part 04-Module 01-Lesson 02_C++ Vectors/10. 2D Vectors and For Loops.html 6.8 kB
  • Part 06-Module 01-Lesson 02_Data Structures/03. Design Tradeoffs.html 6.8 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/img/continuous-variables.png 6.8 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/img/discrete-variables.jpg 6.8 kB
  • Part 06-Module 01-Lesson 02_Data Structures/01. Lesson Overview.html 6.8 kB
  • Part 06-Module 01-Lesson 02_Data Structures/09. Keys and Values.html 6.8 kB
  • Part 06-Module 01-Lesson 02_Data Structures/10. Adding Labels.html 6.8 kB
  • Part 04-Module 01-Lesson 05_Python and C++ Speed/05. Comparing Speeds.html 6.8 kB
  • Part 06-Module 01-Lesson 02_Data Structures/19. Conclusion.html 6.7 kB
  • Part 04-Module 01-Lesson 06_Translate Python to C++/Project Rubric - Translate Python to C++.html 6.7 kB
  • Part 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/09. 2D Arrays and the Robot World [demonstration].html 6.7 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/08. Plotting Gaussians in Python [Solution].html 6.7 kB
  • Part 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/08. Array Iteration and Stopping [exercise].html 6.7 kB
  • Part 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/05. Programming Bayes' Rule [exercise].html 6.7 kB
  • Part 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/02. Programming Probabilities [exercise].html 6.7 kB
  • Part 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/12. Why use Numpy Arrays [demonstration].html 6.7 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/01. Lesson Introduction.html 6.7 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/index.html 6.7 kB
  • Part 01-Module 02-Lesson 02_Get Ready/02. While You Wait - Learning Resources.html 6.7 kB
  • assets/css/fonts/KaTeX_Size2-Regular.woff 6.7 kB
  • Part 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/04. Testing the Total.html 6.7 kB
  • Part 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/10. 2D Iteration [demonstration].html 6.7 kB
  • Part 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/03. Total Probability [exercise].html 6.7 kB
  • Part 01-Module 01-Lesson 01_Introduction/07. First Two Weeks Learning Plan.html 6.7 kB
  • Part 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/07. Arrays [demonstration].html 6.7 kB
  • Part 04-Module 01-Lesson 02_C++ Vectors/03. Python Lists vs. C++ Vectors.html 6.6 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/10. Rate Gyros.html 6.6 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/16. Sebastian's Synchronization Story.html 6.6 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/19. Speed Challenge.html 6.6 kB
  • Part 02-Module 01-Lesson 05_Programming Probability in Python/01. Learn by Doing.html 6.6 kB
  • Part 06-Module 01-Lesson 04_Implement Route Planner/02. What to do.html 6.6 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/14. Conclusion.html 6.6 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/12. Working with Real Data.html 6.6 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/01. Teleoperation at Phantom Auto.html 6.5 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.en.vtt 6.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.ja.vtt 6.5 kB
  • Part 09-Module 02-Lesson 01_Guaranteed Admission into your next Nanodegree/01. Enroll in your next Nanodegree program.html 6.5 kB
  • assets/css/fonts/KaTeX_Size4-Regular.woff 6.5 kB
  • Part 01-Module 01-Lesson 01_Introduction/08. Class Schedule.html 6.4 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/11. Trigonometry and Vehicle Motion.html 6.4 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/13. Images as Grids of Pixels-RVNiaZuv6Ss.zh-CN.vtt 6.4 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/12. Solving Trig Problems.html 6.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.it.vtt 6.4 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/15. Lesson Summary.html 6.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.es-ES.vtt 6.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/index.html 6.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.es.vtt 6.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.pt-PT.vtt 6.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.pt.vtt 6.4 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/index.html 6.4 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/01. The Carla Chronicles Back on Track.html 6.4 kB
  • Part 01-Module 02-Lesson 02_Get Ready/01. How Did You Do.html 6.4 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/index.html 6.3 kB
  • Part 02-Module 01-Lesson 02_Joy Ride/05. Reflection.html 6.3 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/07. Approximating the Integral.html 6.3 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/09. Demo Binary Floats.html 6.3 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/11. Demo Stack vs Heap.html 6.3 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/05. Demo Machine Code.html 6.3 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/08. Demo Binary.html 6.3 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/15. Conclusion.html 6.3 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-X7cixvcogl8.es-ES.vtt 6.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.en.vtt 6.3 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/01. Introduction.html 6.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/38. Solution Step III-CRv1ogJYe8w.ar.vtt 6.3 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro-8O9GV4SUToA.ru.vtt 6.2 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/11. Calculating Area Under the Curve [Solution].html 6.2 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/index.html 6.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/02. Introduction-Uqt_pRbR8rI.iw.vtt 6.2 kB
  • Part 03-Module 01-Lesson 05_Implement Matrix Class/02. Overview.html 6.2 kB
  • Part 03-Module 01-Lesson 01_Section Overview/02. Course Overview.html 6.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.zh-CN.vtt 6.1 kB
  • Part 03-Module 01-Lesson 05_Implement Matrix Class/05. Kalman Filter and your Matrix Class.html 6.1 kB
  • Part 04-Module 01-Lesson 06_Translate Python to C++/01. Project Overview.html 6.1 kB
  • Part 03-Module 01-Lesson 05_Implement Matrix Class/04. Notebook - Implement Matrix Class.html 6.1 kB
  • Part 05-Module 01-Lesson 03_Project Optimize Histogram Filter/04. GCC Flags.html 6.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/03. Localization-31xZhj2uPr4.bn.vtt 6.1 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/07. It's Getting Hot in Here.html 5.9 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/09. What's the Plan, Stan.html 5.9 kB
  • Part 01-Module 02-Lesson 02_Get Ready/03. Intro to Self-Driving Cars Intro To Jupyter Notebooks-0-5VG9FsdQ0.en.vtt 5.9 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/11. The Split Decision.html 5.9 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/03. Wheel Size Matters.html 5.9 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/02. Meet the Crew.html 5.9 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/05. Lost in Space.html 5.9 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/13. The End.html 5.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-X7cixvcogl8.en.vtt 5.9 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.zh-CN.vtt 5.9 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/35. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.en.vtt 5.9 kB
  • Part 02-Module 01-Lesson 02_Joy Ride/04. Part 3 - Parallel Parking.html 5.9 kB
  • Part 01-Module 01-Lesson 01_Introduction/09. Expectations for this Nanodegree.html 5.9 kB
  • Part 06-Module 01-Lesson 04_Implement Route Planner/03. Notebook - Implement Route Planner.html 5.8 kB
  • Part 02-Module 01-Lesson 02_Joy Ride/03. Part 2 - Circular Track.html 5.8 kB
  • Part 02-Module 01-Lesson 02_Joy Ride/02. Part 1 - Drag Race.html 5.8 kB
  • Part 04-Module 01-Lesson 02_C++ Vectors/12. Next Lesson.html 5.8 kB
  • assets/css/fonts/KaTeX_Size1-Regular.woff2 5.8 kB
  • Part 04-Module 01-Lesson 05_Python and C++ Speed/02. Executing the Move Function.html 5.8 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/01. Course Introduction.html 5.8 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/02. Empathize with the Computer.html 5.8 kB
  • Part 01-Module 01-Lesson 01_Introduction/02. Welcome from Sebastian.html 5.8 kB
  • Part 01-Module 01-Lesson 01_Introduction/10. Readiness Introduction.html 5.8 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/48. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.en.vtt 5.8 kB
  • Part 08-Module 01-Lesson 02_Traffic Light Classifier/03. Notebook - Traffic Light Classifier.html 5.8 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/12. Outro.html 5.8 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-o2Tpws5C2Eg.th.vtt 5.7 kB
  • Part 01-Module 02-Lesson 02_Get Ready/04. While You Wait - Programming Playground.html 5.7 kB
  • Part 03-Module 01-Lesson 05_Implement Matrix Class/06. Congratulations.html 5.7 kB
  • Part 05-Module 01-Lesson 03_Project Optimize Histogram Filter/06. Solution Code.html 5.7 kB
  • Part 05-Module 01-Lesson 03_Project Optimize Histogram Filter/03. Project Code.html 5.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion-X7YggdDnLaw.ru.vtt 5.7 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.en.vtt 5.6 kB
  • Part 01-Module 01-Lesson 01_Introduction/03. Meet the Team.html 5.6 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/06. More Kalman Filters-hUnTg5v4tDU.es-ES.vtt 5.6 kB
  • Part 06-Module 01-Lesson 04_Implement Route Planner/01. About this Project.html 5.6 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/index.html 5.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-JsMwEH8cluU.ja.vtt 5.6 kB
  • Part 06-Module 01-Lesson 04_Implement Route Planner/04. Congratulations!.html 5.6 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/index.html 5.6 kB
  • Part 03-Module 01-Lesson 05_Implement Matrix Class/01. Introduction.html 5.6 kB
  • assets/css/fonts/KaTeX_Size2-Regular.woff2 5.6 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/23. More Uniform Cost-8xH-3WtswDs.en.vtt 5.6 kB
  • Part 05-Module 01-Lesson 03_Project Optimize Histogram Filter/02. Project Walk Through.html 5.5 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/17. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.en.vtt 5.5 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-FV_hc3MzS_8.th.vtt 5.5 kB
  • Part 02-Module 01-Lesson 02_Joy Ride/Project Rubric - Joy Ride.html 5.5 kB
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/index.html 5.5 kB
  • Part 02-Module 01-Lesson 12_Histogram Filter in Python/02. Notebook - Two Dimensional Histogram Filter.html 5.5 kB
  • Part 01-Module 02-Lesson 02_Get Ready/05. The Grand Challenge.html 5.5 kB
  • Part 03-Module 01-Lesson 05_Implement Matrix Class/Project Description - Implement a Matrix Class.html 5.5 kB
  • Part 02-Module 01-Lesson 02_Joy Ride/Project Description - Joy Ride.html 5.5 kB
  • Part 01-Module 01-Lesson 01_Introduction/01. The Magic of Self-Driving Cars.html 5.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-X7cixvcogl8.zh-CN.vtt 5.4 kB
  • Part 01-Module 02-Lesson 02_Get Ready/03. Intro to Self-Driving Cars Intro To Jupyter Notebooks-0-5VG9FsdQ0.zh-CN.vtt 5.4 kB
  • Part 07-Module 01-Lesson 04_Reconstructing Trajectories from Sensor Data/02. Lab - Reconstructing Trajectories.html 5.4 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/index.html 5.4 kB
  • Part 08-Module 01-Lesson 02_Traffic Light Classifier/Project Description - Traffic Light Classifier.html 5.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/02. Introduction-Uqt_pRbR8rI.ja.vtt 5.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/02. Introduction-Uqt_pRbR8rI.de.vtt 5.4 kB
  • Part 06-Module 01-Lesson 04_Implement Route Planner/Project Description - Implement Route Planner.html 5.4 kB
  • Part 04-Module 01-Lesson 06_Translate Python to C++/02. Python Code Reminder.html 5.3 kB
  • Part 02-Module 01-Lesson 01_Introduction/02. Course Overview.html 5.3 kB
  • Part 01-Module 02-Lesson 02_Get Ready/03. Intro to Jupyter Notebooks.html 5.3 kB
  • Part 02-Module 01-Lesson 12_Histogram Filter in Python/01. Project Overview.html 5.3 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-CNpSrdnYvbo.th.vtt 5.3 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/index.html 5.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/02. Introduction-Uqt_pRbR8rI.es-ES.vtt 5.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/02. Introduction-Uqt_pRbR8rI.es.vtt 5.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/02. Introduction-Uqt_pRbR8rI.ca.vtt 5.2 kB
  • Part 02-Module 01-Lesson 03_Probability/index.html 5.2 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/06. More Kalman Filters-hUnTg5v4tDU.en.vtt 5.2 kB
  • Part 04-Module 01-Lesson 06_Translate Python to C++/Project Description - Translate Python to C++.html 5.2 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/index.html 5.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-JsMwEH8cluU.en.vtt 5.2 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/index.html 5.2 kB
  • assets/css/fonts/KaTeX_Size4-Regular.woff2 5.2 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/35. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.zh-CN.vtt 5.2 kB
  • Part 06-Module 01-Lesson 02_Data Structures/index.html 5.2 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/index.html 5.1 kB
  • Part 02-Module 01-Lesson 05_Programming Probability in Python/index.html 5.1 kB
  • Part 05-Module 01-Lesson 03_Project Optimize Histogram Filter/05. Project Solution.html 5.1 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/29. Labeled Data and Accuracy-FN96OM_JGyM.en.vtt 5.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/03. Localization-31xZhj2uPr4.ru.vtt 5.1 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/06. More Kalman Filters-hUnTg5v4tDU.ja.vtt 5.1 kB
  • Part 09-Module 01-Lesson 01_Congratulations! You've finished!/01. Congratulations!.html 5.0 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/index.html 5.0 kB
  • Part 04-Module 01-Lesson 05_Python and C++ Speed/01. Introduction.html 5.0 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/03. What Is A Problem-gepUYmWERZA.en.vtt 5.0 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/09. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.en.vtt 5.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/48. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.zh-CN.vtt 5.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/02. Introduction-Uqt_pRbR8rI.pl.vtt 5.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/38. Solution Step III-CRv1ogJYe8w.ja.vtt 5.0 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-X7cixvcogl8.ja.vtt 5.0 kB
  • Part 03-Module 01-Lesson 01_Section Overview/01. Introduction to Matrices.html 4.9 kB
  • Part 02-Module 01-Lesson 01_Introduction/01. The Wonderland of Bayes' Law.html 4.9 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/index.html 4.9 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/23. More Uniform Cost-8xH-3WtswDs.zh-CN.vtt 4.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/02. Introduction-Uqt_pRbR8rI.pt-PT.vtt 4.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/02. Introduction-Uqt_pRbR8rI.pt.vtt 4.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/02. Introduction-Uqt_pRbR8rI.it.vtt 4.9 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/index.html 4.9 kB
  • Part 04-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.en.vtt 4.9 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.zh-CN.vtt 4.8 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/26. Bayes Rule Summary-RgXQ8GRsjfc.th.vtt 4.8 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/11. Car Object-SnfhGZ76h7Y.en.vtt 4.8 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/index.html 4.8 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/17. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.zh-CN.vtt 4.8 kB
  • assets/css/fonts/KaTeX_Size3-Regular.woff 4.8 kB
  • Part 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/index.html 4.8 kB
  • Part 02-Module 01-Lesson 12_Histogram Filter in Python/03. Submission.html 4.8 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-JsMwEH8cluU.zh-CN.vtt 4.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/02. Introduction-Uqt_pRbR8rI.en.vtt 4.7 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/25. Nd113 C7 23 L HSV Conversion-GbrJi0U8T20.en.vtt 4.7 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.th.vtt 4.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/02. Introduction-Uqt_pRbR8rI.zh-CN.vtt 4.7 kB
  • Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/index.html 4.7 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/03. What Is A Problem-gepUYmWERZA.zh-CN.vtt 4.7 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/06. More Kalman Filters-hUnTg5v4tDU.zh-CN.vtt 4.7 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/36. Solution Step I-bIZgt0ttMeU.ar.vtt 4.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/09. What Are the Inputs-cAr-unfe-mg.ar.vtt 4.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-CNpSrdnYvbo.ar.vtt 4.6 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/11. Car Object-SnfhGZ76h7Y.zh-CN.vtt 4.6 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/07. Image Classification Pipeline-jfu6aqvU1vQ.en.vtt 4.5 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-JsMwEH8cluU.pt-BR.vtt 4.5 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-GHKKUR6tZE0.ru.vtt 4.5 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/05. Tree Search-lCuwrHKxNlU.en.vtt 4.5 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/29. Labeled Data and Accuracy-FN96OM_JGyM.zh-CN.vtt 4.5 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/index.html 4.4 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/22. Nd113 C7 20 L Green Screen Car V2-_YEdV_mRKXQ.en.vtt 4.4 kB
  • Part 04-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.zh-CN.vtt 4.4 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/09. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.zh-CN.vtt 4.4 kB
  • Part 04-Module 01-Lesson 02_C++ Vectors/index.html 4.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/38. Solution Step III-CRv1ogJYe8w.en.vtt 4.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/33. Bayes' Rule-sA5wv56qYc0.ja.vtt 4.3 kB
  • Part 01-Module 01-Lesson 01_Introduction/index.html 4.3 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-o2Tpws5C2Eg.ar.vtt 4.3 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/25. Nd113 C7 23 L HSV Conversion-GbrJi0U8T20.zh-CN.vtt 4.2 kB
  • Part 03-Module 01-Lesson 05_Implement Matrix Class/index.html 4.2 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/11. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.en.vtt 4.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/33. Bayes' Rule-sA5wv56qYc0.it.vtt 4.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/18. Algorithm Pseudocode-Ei91QeYiG_E.ar.vtt 4.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/33. Bayes' Rule-sA5wv56qYc0.pt-PT.vtt 4.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/33. Bayes' Rule-sA5wv56qYc0.pt.vtt 4.2 kB
  • Part 04-Module 01-Lesson 03_Practical C++/index.html 4.2 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/33. Sliding Blocks Puzzle 2-7vExAvX3LbI.en.vtt 4.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/33. Bayes' Rule-sA5wv56qYc0.en.vtt 4.1 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.en.vtt 4.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/33. Bayes' Rule-sA5wv56qYc0.es-ES.vtt 4.1 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/05. Tree Search-lCuwrHKxNlU.zh-CN.vtt 4.1 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/img/vector-column.png 4.1 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/23. State Transformation Matrix-DRRuQMYo800.en.vtt 4.1 kB
  • Part 06-Module 01-Lesson 04_Implement Route Planner/index.html 4.1 kB
  • Part 02-Module 01-Lesson 02_Joy Ride/index.html 4.0 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro-8O9GV4SUToA.es-ES.vtt 4.0 kB
  • Part 08-Module 01-Lesson 02_Traffic Light Classifier/index.html 4.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/22. Nd113 C7 20 L Green Screen Car V2-_YEdV_mRKXQ.zh-CN.vtt 4.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/03. Localization-31xZhj2uPr4.iw.vtt 4.0 kB
  • Part 04-Module 01-Lesson 06_Translate Python to C++/index.html 4.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/38. Solution Step III-CRv1ogJYe8w.zh-CN.vtt 4.0 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro-8O9GV4SUToA.ja.vtt 4.0 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-FV_hc3MzS_8.ar.vtt 4.0 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/08. Kalman Filter Design-KYEr4BXhD_E.es-ES.vtt 3.9 kB
  • Part 01-Module 02-Lesson 02_Get Ready/index.html 3.9 kB
  • Part 05-Module 01-Lesson 03_Project Optimize Histogram Filter/index.html 3.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion-X7YggdDnLaw.es-ES.vtt 3.9 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/16. Nd113 Story 1 V1-lIe2zso8A-w.en.vtt 3.9 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/07. Approximating The Integral-9C05AHzI_I8.en.vtt 3.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/33. Bayes' Rule-sA5wv56qYc0.zh-CN.vtt 3.9 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/26. Bayes Rule Summary-RgXQ8GRsjfc.ar.vtt 3.9 kB
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/16. Nd113 Story 1 V1-lIe2zso8A-w.zh-CN.vtt 3.9 kB
  • Part 04-Module 01-Lesson 05_Python and C++ Speed/index.html 3.9 kB
  • assets/css/fonts/KaTeX_Size3-Regular.woff2 3.9 kB
  • assets/css/styles.css 3.9 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/30. Step Three daysBetweenDates-DOkkOsraobw.ar.vtt 3.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/03. Localization-31xZhj2uPr4.vi.vtt 3.8 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/11. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.zh-CN.vtt 3.8 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/09. What Are the Inputs-cAr-unfe-mg.ja.vtt 3.8 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro-8O9GV4SUToA.en.vtt 3.8 kB
  • Part 02-Module 01-Lesson 12_Histogram Filter in Python/index.html 3.8 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/08. Kalman Filter Design-KYEr4BXhD_E.ja.vtt 3.8 kB
  • Part 07-Module 01-Lesson 04_Reconstructing Trajectories from Sensor Data/index.html 3.7 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/19. Should We Implement It-osHXLCQ9TKE.ja.vtt 3.7 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/33. Sliding Blocks Puzzle 2-7vExAvX3LbI.zh-CN.vtt 3.7 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/23. State Transformation Matrix-DRRuQMYo800.zh-CN.vtt 3.7 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/06. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.en.vtt 3.7 kB
  • Part 09-Module 02-Lesson 01_Guaranteed Admission into your next Nanodegree/index.html 3.7 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/08. Kalman Filter Design-KYEr4BXhD_E.en.vtt 3.7 kB
  • Part 02-Module 01-Lesson 01_Introduction/index.html 3.7 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.zh-CN.vtt 3.6 kB
  • Part 03-Module 01-Lesson 01_Section Overview/index.html 3.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/38. Solution Step III-CRv1ogJYe8w.pt-BR.vtt 3.6 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/11. Defining The Derivative-043a3JRE1hU.en.vtt 3.6 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion-X7YggdDnLaw.en.vtt 3.6 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-JIWv5fU3GLA.th.vtt 3.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-Qttkfhh3I5s.ar.vtt 3.6 kB
  • Part 09-Module 01-Lesson 01_Congratulations! You've finished!/index.html 3.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/14. Bayes Rule Diagram-b8M9CWxRyQ4.th.vtt 3.6 kB
  • Part 06-Module 01-Lesson 02_Data Structures/04. Nd113 C5 L02 04 L Three Approaches V1 RENDER V1-ptLUqOBlNzU.en.vtt 3.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/36. Solution Step I-bIZgt0ttMeU.ja.vtt 3.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-o2Tpws5C2Eg.it.vtt 3.5 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/03. Kalman Filter Land-LXJ5jrvDuEk.es-ES.vtt 3.5 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.ar.vtt 3.5 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/img/vector-example.png 3.5 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/37. Solution Step II-SGC8UAz12Q4.ar.vtt 3.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-CNpSrdnYvbo.it.vtt 3.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-CNpSrdnYvbo.es-ES.vtt 3.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-o2Tpws5C2Eg.es-ES.vtt 3.5 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/04. Days Between Dates-VLrJ01wEajw.ar.vtt 3.5 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/37. Nd113 C7 33 L Features And Classification-Ni3ocWoUDPk.en.vtt 3.5 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/18. Total Probability-YSYpzFR4k1I.th.vtt 3.5 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/24. A Search-HNdOFYCtfu4.en.vtt 3.5 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion-X7YggdDnLaw.ja.vtt 3.5 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/19. Should We Implement It-osHXLCQ9TKE.en.vtt 3.5 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/08. Dependent Things-NDL-rxSYJWo.th.vtt 3.4 kB
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-1txkcmxk3vU.th.vtt 3.4 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.en.vtt 3.4 kB
  • Part 01-Module 01-Lesson 01_Introduction/03. Meet The Team-U7OiT5kWlnQ.en-US.vtt 3.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/03. Localization-31xZhj2uPr4.es-MX.vtt 3.4 kB
  • Part 06-Module 01-Lesson 02_Data Structures/04. Nd113 C5 L02 04 L Three Approaches V1 RENDER V1-ptLUqOBlNzU.zh-CN.vtt 3.4 kB
  • Part 01-Module 01-Lesson 01_Introduction/03. Meet The Team-U7OiT5kWlnQ.zh-CN.vtt 3.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion-X7YggdDnLaw.zh-CN.vtt 3.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro-8O9GV4SUToA.zh-CN.vtt 3.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/36. Solution Step I-bIZgt0ttMeU.es.vtt 3.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/01. Introduction-XZL934YQ-FQ.ru.vtt 3.4 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/03. Kalman Filter Land-LXJ5jrvDuEk.en.vtt 3.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-o2Tpws5C2Eg.en.vtt 3.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-CNpSrdnYvbo.ja.vtt 3.4 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/06. Tree Search Continued-8yID2dTeBSM.en.vtt 3.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-3xBycKfnCOQ.ru.vtt 3.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/02. Introduction-Uqt_pRbR8rI.th.vtt 3.3 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-CNpSrdnYvbo.en.vtt 3.3 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-hoVOT8qcQ7c.th.vtt 3.3 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-o2Tpws5C2Eg.pt-BR.vtt 3.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/36. Solution Step I-bIZgt0ttMeU.en.vtt 3.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/18. Algorithm Pseudocode-Ei91QeYiG_E.ja.vtt 3.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/09. What Are the Inputs-cAr-unfe-mg.en.vtt 3.3 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/08. Kalman Filter Design-KYEr4BXhD_E.zh-CN.vtt 3.3 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/09. Always Moving-EQBQlHvxAQA.en.vtt 3.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/03. Localization-31xZhj2uPr4.es-ES.vtt 3.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/03. Localization-31xZhj2uPr4.es.vtt 3.3 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/03. Kalman Filter Land-LXJ5jrvDuEk.ja.vtt 3.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/03. Localization-31xZhj2uPr4.pt-PT.vtt 3.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/03. Localization-31xZhj2uPr4.pt.vtt 3.2 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/26. Bayes Rule Summary-RgXQ8GRsjfc.pt-BR.vtt 3.2 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-FV_hc3MzS_8.pt-BR.vtt 3.2 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/07. Approximating The Integral-9C05AHzI_I8.zh-CN.vtt 3.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/03. Localization-31xZhj2uPr4.it.vtt 3.2 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/06. Tree Search Continued-8yID2dTeBSM.zh-CN.vtt 3.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/03. Localization-31xZhj2uPr4.pl.vtt 3.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/03. Localization-31xZhj2uPr4.ja.vtt 3.2 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-GHKKUR6tZE0.es-ES.vtt 3.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/18. Algorithm Pseudocode-Ei91QeYiG_E.en.vtt 3.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/36. Solution Step I-bIZgt0ttMeU.zh-CN.vtt 3.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-CNpSrdnYvbo.zh-CN.vtt 3.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-CNpSrdnYvbo.pt-BR.vtt 3.1 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/24. A Search-HNdOFYCtfu4.zh-CN.vtt 3.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/30. Step Three daysBetweenDates-DOkkOsraobw.ja.vtt 3.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/03. Localization-31xZhj2uPr4.zh-CN.vtt 3.1 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/18. 17 - Uniform Cost Search 5-oiJLwSnrEDA.en.vtt 3.1 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-FV_hc3MzS_8.it.vtt 3.1 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-FV_hc3MzS_8.es-ES.vtt 3.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-o2Tpws5C2Eg.zh-CN.vtt 3.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-vasdN2Gol0M.th.vtt 3.0 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.zh-CN.vtt 3.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/19. Should We Implement It-osHXLCQ9TKE.zh-CN.vtt 3.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/09. What Are the Inputs-cAr-unfe-mg.zh-CN.vtt 3.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-K8g3Hss8Q1A.es-ES.vtt 3.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/03. Localization-31xZhj2uPr4.en.vtt 3.0 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/01. Localization Steps-4SiMoSTf4rQ.en.vtt 3.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability-byZ-BzbQA5M.es-ES.vtt 3.0 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/04. Example Route Finding-5lrkPKQwOFE.en.vtt 3.0 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-GHKKUR6tZE0.en.vtt 3.0 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/11. Defining The Derivative-043a3JRE1hU.zh-CN.vtt 3.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/37. Nd113 C7 33 L Features And Classification-Ni3ocWoUDPk.zh-CN.vtt 3.0 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/35. A Note On Implementation-P3mkDcB-nqY.en.vtt 3.0 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1-_DjfTytro6I.th.vtt 3.0 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/06. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.zh-CN.vtt 3.0 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/18. 17 - Uniform Cost Search 5-oiJLwSnrEDA.zh-CN.vtt 3.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/15. Color Images--XbXiiGQ9gw.en.vtt 3.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/36. Solution Step I-bIZgt0ttMeU.pt-BR.vtt 3.0 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/04. Example Route Finding-5lrkPKQwOFE.zh-CN.vtt 2.9 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.it.vtt 2.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-GHKKUR6tZE0.ja.vtt 2.9 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-o2Tpws5C2Eg.ja.vtt 2.9 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/05. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.en.vtt 2.9 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.en.vtt 2.9 kB
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-OpNufHYgJCg.th.vtt 2.9 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.es-ES.vtt 2.9 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-FV_hc3MzS_8.en.vtt 2.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2-rmWL_3r8MKo.pt-PT.vtt 2.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2-rmWL_3r8MKo.pt.vtt 2.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-8c479K2UCZo.ru.vtt 2.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.ru.vtt 2.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2-rmWL_3r8MKo.es-ES.vtt 2.9 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/30. Step Three daysBetweenDates-DOkkOsraobw.en.vtt 2.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-K8g3Hss8Q1A.it.vtt 2.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-K8g3Hss8Q1A.ja.vtt 2.8 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/28. Step One Pseudocode-hJzpU5qC3hs.ar.vtt 2.8 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/09. What Are the Inputs-cAr-unfe-mg.pt-BR.vtt 2.8 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/09. Always Moving-EQBQlHvxAQA.zh-CN.vtt 2.8 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-trokjJravhc.ar.vtt 2.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-K8g3Hss8Q1A.pt-PT.vtt 2.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-K8g3Hss8Q1A.pt.vtt 2.8 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.en.vtt 2.8 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/03. Intro To Probability Distribution 2-PglBg4eb_5M.en.vtt 2.8 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-FV_hc3MzS_8.ja.vtt 2.8 kB
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.th.vtt 2.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability-byZ-BzbQA5M.pt-PT.vtt 2.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability-byZ-BzbQA5M.it.vtt 2.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability-byZ-BzbQA5M.pt.vtt 2.8 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/18. Algorithm Pseudocode-Ei91QeYiG_E.zh-CN.vtt 2.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2-rmWL_3r8MKo.it.vtt 2.8 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/19. Should We Implement It-osHXLCQ9TKE.pt-BR.vtt 2.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-K8g3Hss8Q1A.en.vtt 2.8 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/18. Algorithm Pseudocode-Ei91QeYiG_E.pt-BR.vtt 2.8 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/01. Localization Steps-4SiMoSTf4rQ.zh-CN.vtt 2.8 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/26. Bayes Rule Summary-RgXQ8GRsjfc.es-ES.vtt 2.7 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/10. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.en.vtt 2.7 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/30. Step Three daysBetweenDates-DOkkOsraobw.zh-CN.vtt 2.7 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.en.vtt 2.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability-byZ-BzbQA5M.en.vtt 2.7 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.en.vtt 2.7 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/04. Days Between Dates-VLrJ01wEajw.ja.vtt 2.7 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.zh-CN.vtt 2.7 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/21. Search Comparison 2-Fh5b8xVJhR8.en.vtt 2.7 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/06. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.en.vtt 2.7 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/26. Bayes Rule Summary-RgXQ8GRsjfc.ja.vtt 2.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2-rmWL_3r8MKo.ja.vtt 2.7 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/18. Pre-processing--h1GS0SEyzY.en.vtt 2.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability-byZ-BzbQA5M.ja.vtt 2.7 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-HRepefDqkDM.es-AR.vtt 2.7 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/35. A Note On Implementation-P3mkDcB-nqY.zh-CN.vtt 2.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.es-ES.vtt 2.7 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.en.vtt 2.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-GHKKUR6tZE0.zh-CN.vtt 2.7 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/22. Don't Optimize Prematurely-uQDk8euwyDI.ar.vtt 2.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2-rmWL_3r8MKo.en.vtt 2.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/26. Bayes Rule Summary-RgXQ8GRsjfc.en.vtt 2.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.pt-PT.vtt 2.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.pt.vtt 2.6 kB
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles-fkUyTJNbdzU.th.vtt 2.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-K8g3Hss8Q1A.zh-CN.vtt 2.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-N8dKtrrCZ7U.ja.vtt 2.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.ja.vtt 2.6 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.zh-CN.vtt 2.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.it.vtt 2.6 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/03. Motion Models-qSdbn_PVQnk.en.vtt 2.6 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/15. Color Images--XbXiiGQ9gw.zh-CN.vtt 2.5 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/03. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.en.vtt 2.5 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/18. Total Probability-YSYpzFR4k1I.ar.vtt 2.5 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-JIWv5fU3GLA.ar.vtt 2.5 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/34. Problems With Search-5RmTKsNoG6M.en.vtt 2.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.ja.vtt 2.5 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/03. Kalman Filter Land-LXJ5jrvDuEk.zh-CN.vtt 2.5 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/30. Step Three daysBetweenDates-DOkkOsraobw.pt-BR.vtt 2.5 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/02. Computer Vision and Sebastian-pil3PeZzCIY.en.vtt 2.5 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-Qttkfhh3I5s.es-MX.vtt 2.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability-byZ-BzbQA5M.zh-CN.vtt 2.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.en.vtt 2.5 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/37. Solution Step II-SGC8UAz12Q4.ja.vtt 2.5 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.zh-CN.vtt 2.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2-rmWL_3r8MKo.zh-CN.vtt 2.5 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/21. Search Comparison 2-Fh5b8xVJhR8.zh-CN.vtt 2.5 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-trokjJravhc.ja.vtt 2.5 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.pt-BR.vtt 2.5 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-HRepefDqkDM.en.vtt 2.5 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.zh-CN.vtt 2.5 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/04. Days Between Dates-VLrJ01wEajw.en.vtt 2.5 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/05. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.zh-CN.vtt 2.5 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-FV_hc3MzS_8.zh-CN.vtt 2.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/14. Bayes Rule Diagram-b8M9CWxRyQ4.ar.vtt 2.5 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-d8UrbKKlGxI.es-ES.vtt 2.5 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.zh-CN.vtt 2.5 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/06. Delta X Over Delta T-AsBTLDf0vQs.en.vtt 2.5 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/31. Sliding Blocks Puzzle-Dzah_49isp8.en.vtt 2.5 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/12. Solving Trig Problems Part1-qI4i845d7Qg.en.vtt 2.4 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/10. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.zh-CN.vtt 2.4 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/03. Intro To Probability Distribution 2-PglBg4eb_5M.zh-CN.vtt 2.4 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.ja.vtt 2.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-d8UrbKKlGxI.ja.vtt 2.4 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.en.vtt 2.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-Qttkfhh3I5s.ja.vtt 2.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.zh-CN.vtt 2.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/37. Solution Step II-SGC8UAz12Q4.en.vtt 2.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-d8UrbKKlGxI.en.vtt 2.4 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/02. Computer Vision and Sebastian-pil3PeZzCIY.zh-CN.vtt 2.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/03. Como Resolver Problemas-E6t0oGRXXh8.uk.vtt 2.4 kB
  • Part 06-Module 01-Lesson 02_Data Structures/10. Nd113 C5 L02 09 L Adding Labels V2-VZcXBAHs5ts.en.vtt 2.4 kB
  • Part 02-Module 01-Lesson 03_Probability/25. Summary-hIEDvyCETEw.th.vtt 2.4 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/04. Nd113 C7 02 L Introducing Tarin V2-us2b__pBR8Y.en.vtt 2.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.es-ES.vtt 2.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-Qttkfhh3I5s.en.vtt 2.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-Qttkfhh3I5s.pt-BR.vtt 2.3 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/19. Search Comparison-RMt_NiyY4nU.en.vtt 2.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-N8dKtrrCZ7U.en.vtt 2.3 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/26. Bayes Rule Summary-RgXQ8GRsjfc.zh-CN.vtt 2.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/10. How Are Inputs Represented-kG94A6xHqZk.uk.vtt 2.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/37. Solution Step II-SGC8UAz12Q4.zh-CN.vtt 2.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.it.vtt 2.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.pt-PT.vtt 2.3 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/34. Problems With Search-5RmTKsNoG6M.zh-CN.vtt 2.3 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/43. Nd113 C7 40 L Convolution In Self-Driving Cars-nz7rOTZ99X4.en.vtt 2.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.pt.vtt 2.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/04. Days Between Dates-VLrJ01wEajw.pt-BR.vtt 2.3 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-vasdN2Gol0M.ar.vtt 2.3 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-9R44IyZ-aQI.th.vtt 2.3 kB
  • Part 06-Module 01-Lesson 02_Data Structures/05. Nd113 C5 L02 05 L Representing A Single Ticket V1 RENDER V1-wXTASv5R-VQ.en.vtt 2.2 kB
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-1txkcmxk3vU.ar.vtt 2.2 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-3xBycKfnCOQ.es-ES.vtt 2.2 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/06. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.zh-CN.vtt 2.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/28. Step One Pseudocode-hJzpU5qC3hs.ja.vtt 2.2 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/04. Using Sensor Data-vhl-SADfti8.ar.vtt 2.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.en.vtt 2.2 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/03. Motion Models-qSdbn_PVQnk.zh-CN.vtt 2.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-HRepefDqkDM.ja.vtt 2.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/39. Solution Step IV-H1oVKsgSsi0.ar.vtt 2.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/37. Solution Step II-SGC8UAz12Q4.pt-BR.vtt 2.2 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/14. Bayes Rule Diagram-b8M9CWxRyQ4.pt-BR.vtt 2.2 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.en.vtt 2.2 kB
  • Part 06-Module 01-Lesson 02_Data Structures/10. Nd113 C5 L02 09 L Adding Labels V2-VZcXBAHs5ts.zh-CN.vtt 2.2 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/02. Welcome to Search!-pHySYq-wghU.en.vtt 2.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/28. Step One Pseudocode-hJzpU5qC3hs.en.vtt 2.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-HRepefDqkDM.zh-CN.vtt 2.2 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.zh-CN.vtt 2.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.zh-CN.vtt 2.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-Qttkfhh3I5s.zh-CN.vtt 2.2 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-hoVOT8qcQ7c.ar.vtt 2.2 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/01. Introduction-XZL934YQ-FQ.ja.vtt 2.2 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-JIWv5fU3GLA.it.vtt 2.2 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-JIWv5fU3GLA.es-ES.vtt 2.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/04. Days Between Dates-VLrJ01wEajw.zh-CN.vtt 2.2 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-3xBycKfnCOQ.en.vtt 2.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/14. Bayes Rule Diagram-b8M9CWxRyQ4.it.vtt 2.1 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/06. Delta X Over Delta T-AsBTLDf0vQs.zh-CN.vtt 2.1 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/01. Introduction-XZL934YQ-FQ.es-ES.vtt 2.1 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/01. Introduction-XZL934YQ-FQ.es.vtt 2.1 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/31. Sliding Blocks Puzzle-Dzah_49isp8.zh-CN.vtt 2.1 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-HTL5-0DDqE4.es-ES.vtt 2.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/22. Don't Optimize Prematurely-uQDk8euwyDI.es-AR.vtt 2.1 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/19. Search Comparison-RMt_NiyY4nU.zh-CN.vtt 2.1 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/04. Nd113 C7 02 L Introducing Tarin V2-us2b__pBR8Y.zh-CN.vtt 2.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-yYqN9Mf4jqw.th.vtt 2.1 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/02. Nd113 C6 L1 01 Inertial Navigation V1 (1)-vWgG0d2HOVE.en.vtt 2.1 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/14. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.en.vtt 2.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-N8dKtrrCZ7U.pt-BR.vtt 2.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-trokjJravhc.en.vtt 2.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-N8dKtrrCZ7U.zh-CN.vtt 2.1 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/03. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.zh-CN.vtt 2.1 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/12. Breath First Search 5-eyN4162UjH8.en.vtt 2.1 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-JIWv5fU3GLA.en.vtt 2.1 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-d8UrbKKlGxI.zh-CN.vtt 2.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1-_DjfTytro6I.ar.vtt 2.1 kB
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-OpNufHYgJCg.ar.vtt 2.1 kB
  • Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-gGgqTGZ9TKg.th.vtt 2.0 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-3xBycKfnCOQ.ja.vtt 2.0 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/01. Introduction-XZL934YQ-FQ.pt-PT.vtt 2.0 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/18. Total Probability-YSYpzFR4k1I.it.vtt 2.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.pt-PT.vtt 2.0 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/01. Introduction-XZL934YQ-FQ.pt.vtt 2.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.pt.vtt 2.0 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-8c479K2UCZo.ja.vtt 2.0 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/27. Nd113 C7 25 L Day And Night Classification NEEDS ANM V1-bsra6mwtw7U.en.vtt 2.0 kB
  • Part 06-Module 01-Lesson 02_Data Structures/05. Nd113 C5 L02 05 L Representing A Single Ticket V1 RENDER V1-wXTASv5R-VQ.zh-CN.vtt 2.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-HRepefDqkDM.pt-BR.vtt 2.0 kB
  • Part 06-Module 01-Lesson 02_Data Structures/02. Tracking Tickets RENDER 1 V1-6sbn7ECEOys.en.vtt 2.0 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/09. Nd113 C2 L3 08 L Look At Where We Are V2-5EjWMSV-0wo.en.vtt 2.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/28. Step One Pseudocode-hJzpU5qC3hs.zh-CN.vtt 2.0 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/14. Bayes Rule Diagram-b8M9CWxRyQ4.ja.vtt 2.0 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/18. Total Probability-YSYpzFR4k1I.es-ES.vtt 2.0 kB
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles-fkUyTJNbdzU.ar.vtt 2.0 kB
  • Part 01-Module 01-Lesson 01_Introduction/09. Intro to Self-Driving Cars Expectations for this Nanodegree-TTOhBB7QaUg.en.vtt 2.0 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/14. Bayes Rule Diagram-b8M9CWxRyQ4.es-ES.vtt 2.0 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.zh-CN.vtt 2.0 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/12. Solving Trig Problems Part1-qI4i845d7Qg.zh-CN.vtt 2.0 kB
  • Part 02-Module 01-Lesson 01_Introduction/01. The Wonderland of Probability and Bayes' Rule-gfFWpMehzpk.zh-CN.vtt 2.0 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.th.vtt 2.0 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/15. Equivalent Diagram-aUFWZ2uJuBE.en-GB.vtt 2.0 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/14. Bayes Rule Diagram-b8M9CWxRyQ4.en.vtt 2.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-5vjhu_cssNQ.uk.vtt 2.0 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/02. Welcome to Search!-pHySYq-wghU.zh-CN.vtt 2.0 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-HTL5-0DDqE4.en.vtt 2.0 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/12. Breath First Search 5-eyN4162UjH8.zh-CN.vtt 2.0 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-U8I0vgojlcY.es-ES.vtt 2.0 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/10. L1 09 V2-b-zB9Bs8zKQ.en.vtt 2.0 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.en.vtt 2.0 kB
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-1txkcmxk3vU.pt-BR.vtt 2.0 kB
  • Part 02-Module 01-Lesson 01_Introduction/01. The Wonderland of Probability and Bayes' Rule-gfFWpMehzpk.en.vtt 2.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/16. Try an Example-X29RjzKHsWU.ar.vtt 1.9 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/18. Total Probability-YSYpzFR4k1I.en.vtt 1.9 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/45. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.en.vtt 1.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.es-ES.vtt 1.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.es.vtt 1.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/01. Introduction-XZL934YQ-FQ.en.vtt 1.9 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/20. Search Comparison 1-JbJMxp3Lva4.en.vtt 1.9 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-HTL5-0DDqE4.ja.vtt 1.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-7T1Rr7KLgdM.ja.vtt 1.9 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-R4zq6mPPMxs.ar.vtt 1.9 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/08. Dependent Things-NDL-rxSYJWo.it.vtt 1.9 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/01. Reducing Uncertainty-zuFMhmKQ--o.ar.vtt 1.9 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/02. Kalman Prediction-doyrdLJ6rJ4.es-ES.vtt 1.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.it.vtt 1.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction-doyrdLJ6rJ4.es-ES.vtt 1.9 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/28. Step One Pseudocode-hJzpU5qC3hs.pt-BR.vtt 1.9 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/08. Dependent Things-NDL-rxSYJWo.ja.vtt 1.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.en.vtt 1.9 kB
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-1txkcmxk3vU.it.vtt 1.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-3xBycKfnCOQ.zh-CN.vtt 1.9 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/04. Using Sensor Data-vhl-SADfti8.pt-BR.vtt 1.9 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/32. Nd113 C7 29 L Features-HshygbfQylA.en.vtt 1.9 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-JIWv5fU3GLA.ja.vtt 1.9 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/07. Understanding a Problem-hkspB2e0S9A.uk.vtt 1.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-8c479K2UCZo.es-ES.vtt 1.9 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-GO6kbL3QRBE.th.vtt 1.9 kB
  • Part 02-Module 01-Lesson 03_Probability/05. Probability-arJxFjaMsBM.th.vtt 1.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-SZ6Jg1wS604.es-ES.vtt 1.9 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/03. Como Resolver Problemas-E6t0oGRXXh8.ar.vtt 1.9 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.zh-CN.vtt 1.9 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-U8I0vgojlcY.en.vtt 1.9 kB
  • Part 01-Module 01-Lesson 01_Introduction/09. Intro to Self-Driving Cars Expectations for this Nanodegree-TTOhBB7QaUg.zh-CN.vtt 1.9 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/15. L2 18 V2-nCJQl2kH8bY.en.vtt 1.9 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/02. Nd113 C6 L1 01 Inertial Navigation V1 (1)-vWgG0d2HOVE.zh-CN.vtt 1.9 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-JIWv5fU3GLA.pt-BR.vtt 1.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro-lDykH1UHq38.ru.vtt 1.9 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/22. Don't Optimize Prematurely-uQDk8euwyDI.en.vtt 1.9 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-trokjJravhc.zh-CN.vtt 1.9 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-gPfkboHV3QA.en.vtt 1.9 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/22. Don't Optimize Prematurely-uQDk8euwyDI.ja.vtt 1.9 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/02. Kalman Prediction-doyrdLJ6rJ4.ja.vtt 1.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction-doyrdLJ6rJ4.ja.vtt 1.9 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Iz4ViIg9ZlQ.th.vtt 1.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.ja.vtt 1.8 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/18. Total Probability-YSYpzFR4k1I.pt-BR.vtt 1.8 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/17. Density-4Ri4nhHKtU0.es-ES.vtt 1.8 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-gPfkboHV3QA.ja.vtt 1.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-7T1Rr7KLgdM.es-ES.vtt 1.8 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/43. Nd113 C7 40 L Convolution In Self-Driving Cars-nz7rOTZ99X4.zh-CN.vtt 1.8 kB
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-1txkcmxk3vU.es-ES.vtt 1.8 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/10. How Are Inputs Represented-kG94A6xHqZk.ar.vtt 1.8 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-JIWv5fU3GLA.zh-CN.vtt 1.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-eIjyrQpDogg.pt-PT.vtt 1.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-eIjyrQpDogg.it.vtt 1.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-eIjyrQpDogg.pt.vtt 1.8 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/17. Density-4Ri4nhHKtU0.en.vtt 1.8 kB
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.th.vtt 1.8 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/01. Introduction-XZL934YQ-FQ.zh-CN.vtt 1.8 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/09. Nd113 C2 L3 08 L Look At Where We Are V2-5EjWMSV-0wo.zh-CN.vtt 1.8 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/20. Search Comparison 1-JbJMxp3Lva4.zh-CN.vtt 1.8 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-HTL5-0DDqE4.zh-CN.vtt 1.8 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/14. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.zh-CN.vtt 1.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-7T1Rr7KLgdM.it.vtt 1.8 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/02. Kalman Prediction-doyrdLJ6rJ4.en.vtt 1.8 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-trokjJravhc.pt-BR.vtt 1.8 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction-doyrdLJ6rJ4.en.vtt 1.8 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-hoVOT8qcQ7c.it.vtt 1.8 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1-_DjfTytro6I.pt-BR.vtt 1.8 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/18. Total Probability-YSYpzFR4k1I.zh-CN.vtt 1.8 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/31. Feature Extraction-DkmLO7PKhy8.en.vtt 1.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-eIjyrQpDogg.en.vtt 1.8 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-8c479K2UCZo.en.vtt 1.8 kB
  • Part 06-Module 01-Lesson 02_Data Structures/02. Tracking Tickets RENDER 1 V1-6sbn7ECEOys.zh-CN.vtt 1.8 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/08. Dependent Things-NDL-rxSYJWo.es-ES.vtt 1.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-eIjyrQpDogg.es-ES.vtt 1.8 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-2T1JONL0WyE.ar.vtt 1.8 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/39. Solution Step IV-H1oVKsgSsi0.ja.vtt 1.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-eIjyrQpDogg.es.vtt 1.8 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/05. A Different Model-Mh0g-SMpMI4.en.vtt 1.8 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/45. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.zh-CN.vtt 1.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-SZ6Jg1wS604.it.vtt 1.8 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-R4zq6mPPMxs.pt-BR.vtt 1.8 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/35. Generalizing-SdMk3aROgSc.ar.vtt 1.8 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-hoVOT8qcQ7c.es-ES.vtt 1.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-7T1Rr7KLgdM.pt-PT.vtt 1.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-eIjyrQpDogg.zh-CN.vtt 1.8 kB
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-1txkcmxk3vU.en.vtt 1.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-7T1Rr7KLgdM.pt.vtt 1.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-SZ6Jg1wS604.en.vtt 1.8 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/28. Localization Summary-MVbo4OAgQCc.it.vtt 1.8 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/08. Dependent Things-NDL-rxSYJWo.en.vtt 1.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-7T1Rr7KLgdM.en.vtt 1.7 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/14. Bayes Rule Diagram-b8M9CWxRyQ4.zh-CN.vtt 1.7 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/10. L1 09 V2-b-zB9Bs8zKQ.zh-CN.vtt 1.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-SZ6Jg1wS604.pt-PT.vtt 1.7 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-9R44IyZ-aQI.ar.vtt 1.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-SZ6Jg1wS604.pt.vtt 1.7 kB
  • Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.th.vtt 1.7 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-vasdN2Gol0M.es-ES.vtt 1.7 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/27. Nd113 C7 25 L Day And Night Classification NEEDS ANM V1-bsra6mwtw7U.zh-CN.vtt 1.7 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-hoVOT8qcQ7c.ja.vtt 1.7 kB
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-1txkcmxk3vU.hr.vtt 1.7 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/51. Ends and Beginnings-lCUkFi4fwLY.en.vtt 1.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/28. Localization Summary-MVbo4OAgQCc.pt-PT.vtt 1.7 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-vasdN2Gol0M.en.vtt 1.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/28. Localization Summary-MVbo4OAgQCc.pt.vtt 1.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/28. Localization Summary-MVbo4OAgQCc.es-MX.vtt 1.7 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.zh-CN.vtt 1.7 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/16. Try an Example-X29RjzKHsWU.ja.vtt 1.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-SZ6Jg1wS604.ja.vtt 1.7 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/02. Kalman Prediction-doyrdLJ6rJ4.zh-CN.vtt 1.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction-doyrdLJ6rJ4.zh-CN.vtt 1.7 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/30. Optimistic Heuristic-Q5YJtZc37uc.en.vtt 1.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-SZ6Jg1wS604.zh-CN.vtt 1.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-1s2dRczcu1A.es-ES.vtt 1.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/28. Localization Summary-MVbo4OAgQCc.es-ES.vtt 1.7 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-tI0J14yQr1s.th.vtt 1.7 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/32. Real World Problem-lY0CYTfkLWo.ar.vtt 1.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/28. Localization Summary-MVbo4OAgQCc.es.vtt 1.7 kB
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-OpNufHYgJCg.it.vtt 1.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-Y7Mr_5Hfe24.ru.vtt 1.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-8c479K2UCZo.zh-CN.vtt 1.7 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/22. Don't Optimize Prematurely-uQDk8euwyDI.pt-BR.vtt 1.7 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-7T1Rr7KLgdM.zh-CN.vtt 1.7 kB
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-1txkcmxk3vU.ja.vtt 1.7 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/32. Nd113 C7 29 L Features-HshygbfQylA.zh-CN.vtt 1.7 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-hoVOT8qcQ7c.en.vtt 1.7 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-U8I0vgojlcY.zh-CN.vtt 1.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-eIjyrQpDogg.ja.vtt 1.6 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.en.vtt 1.6 kB
  • Part 02-Module 01-Lesson 02_Joy Ride/01. Project Overview-Ij45-DpGejE.en.vtt 1.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/22. Don't Optimize Prematurely-uQDk8euwyDI.zh-CN.vtt 1.6 kB
  • Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-uhrL5fatt3E.th.vtt 1.6 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/05. A Different Model-Mh0g-SMpMI4.zh-CN.vtt 1.6 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/18. Total Probability-YSYpzFR4k1I.ja.vtt 1.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-yYqN9Mf4jqw.ar.vtt 1.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/04. Using Sensor Data-vhl-SADfti8.en.vtt 1.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-1s2dRczcu1A.pt-PT.vtt 1.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-1s2dRczcu1A.it.vtt 1.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/40. Conclusion-JmP5wzHFchc.ar.vtt 1.6 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/03. Welcome To Computer Vision-qAGnachIrxs.en.vtt 1.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-1s2dRczcu1A.pt.vtt 1.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-vasdN2Gol0M.pt-BR.vtt 1.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-wN445aeFEFI.ar.vtt 1.6 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/15. L2 18 V2-nCJQl2kH8bY.zh-CN.vtt 1.6 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/17. Density-4Ri4nhHKtU0.zh-CN.vtt 1.6 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/28. A Search 4-B_rOIxwLzr8.en.vtt 1.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-1s2dRczcu1A.ja.vtt 1.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-vasdN2Gol0M.zh-CN.vtt 1.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-TnFq6hufsYs.es-ES.vtt 1.6 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.en.vtt 1.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-TnFq6hufsYs.es.vtt 1.6 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-hoVOT8qcQ7c.zh-CN.vtt 1.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/15. Take the Next Step-L4vB8eu6Wo8.ar.vtt 1.6 kB
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-OpNufHYgJCg.es-ES.vtt 1.6 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-QIQBb4nLsHc.th.vtt 1.6 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/31. Feature Extraction-DkmLO7PKhy8.zh-CN.vtt 1.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-gPfkboHV3QA.zh-CN.vtt 1.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/39. Solution Step IV-H1oVKsgSsi0.en.vtt 1.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/28. Localization Summary-MVbo4OAgQCc.en.vtt 1.6 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/09. Nd113 C6 L3 09 L Trigonometric Ratios V2-wquwvrT9g_U.en.vtt 1.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/03. Como Resolver Problemas-E6t0oGRXXh8.ja.vtt 1.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-OgC5M2XdIac.es-ES.vtt 1.6 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-hoVOT8qcQ7c.pt-BR.vtt 1.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/10. How Are Inputs Represented-kG94A6xHqZk.pt-BR.vtt 1.6 kB
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles-fkUyTJNbdzU.pt-BR.vtt 1.6 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-U8I0vgojlcY.ja.vtt 1.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1-_DjfTytro6I.es-ES.vtt 1.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-gPfkboHV3QA.pt-BR.vtt 1.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/29. Step Two Helper Function-lpprz4op11k.uk.vtt 1.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-vasdN2Gol0M.ja.vtt 1.6 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/28. A Search 4-B_rOIxwLzr8.zh-CN.vtt 1.6 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-1s2dRczcu1A.en.vtt 1.6 kB
  • Part 02-Module 01-Lesson 02_Joy Ride/01. Project Overview-Ij45-DpGejE.zh-CN.vtt 1.6 kB
  • Part 06-Module 01-Lesson 02_Data Structures/03. Nd113 C5 L2 03 L Design Tradeoffs V1-8IpVosy86Fo.en.vtt 1.6 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/10. How Are Inputs Represented-kG94A6xHqZk.ja.vtt 1.6 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.en.vtt 1.6 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-TtmQ7YCw_1Y.ar.vtt 1.6 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/12. Working with Real Data-WvEcWtAz-OQ.en.vtt 1.5 kB
  • Part 06-Module 01-Lesson 02_Data Structures/01. Nd113 C5 L2 01 L Lesson Overview V1-LLrp9jq381k.en.vtt 1.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-OgC5M2XdIac.it.vtt 1.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-OgC5M2XdIac.pt-PT.vtt 1.5 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/07. Understanding a Problem-hkspB2e0S9A.ar.vtt 1.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-OgC5M2XdIac.pt.vtt 1.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/28. Localization Summary-MVbo4OAgQCc.ja.vtt 1.5 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/08. Dependent Things-NDL-rxSYJWo.zh-CN.vtt 1.5 kB
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.ar.vtt 1.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/01. Reducing Uncertainty-zuFMhmKQ--o.pt-BR.vtt 1.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-TnFq6hufsYs.pt-PT.vtt 1.5 kB
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-OpNufHYgJCg.hr.vtt 1.5 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/04. Nd113 C6 L3 04 L Moving At An Angle V2-2KDq_ZzN3Mk.en.vtt 1.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-TnFq6hufsYs.pt.vtt 1.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-TnFq6hufsYs.ja.vtt 1.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-TnFq6hufsYs.it.vtt 1.5 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/22. State Vector-st26ov_TVwM.en.vtt 1.5 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/01. L2 01 V2-GRgbA3XBy6w.en.vtt 1.5 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/07. Quantifying State-9zMbwSqTZAc.en.vtt 1.5 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/51. Ends and Beginnings-lCUkFi4fwLY.zh-CN.vtt 1.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-TnFq6hufsYs.en.vtt 1.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-_AhoOd8YUK0.ja.vtt 1.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/01. Reducing Uncertainty-zuFMhmKQ--o.en.vtt 1.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-kfPWiMsnWFI.es-ES.vtt 1.5 kB
  • Part 09-Module 01-Lesson 01_Congratulations! You've finished!/01. Congratulations on completing Intro to Self-Driving Cars!-w640r8wujPw.en.vtt 1.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-wfjE0mVADIk.es-ES.vtt 1.5 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/33. Nd113 Matrices L3 12 V1-BRLmFGScL_k.en.vtt 1.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-wfjE0mVADIk.es.vtt 1.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-_AhoOd8YUK0.es-ES.vtt 1.5 kB
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-OpNufHYgJCg.en.vtt 1.5 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/05. Nd113 C7 03 L Vision And SelfDriving Cars V1-dezDkQ47NaY.en.vtt 1.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-R4zq6mPPMxs.ja.vtt 1.5 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/30. Optimistic Heuristic-Q5YJtZc37uc.zh-CN.vtt 1.5 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.en.vtt 1.5 kB
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-1txkcmxk3vU.zh-CN.vtt 1.5 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability-PNiaE1fy-7k.en.vtt 1.5 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction-tSfmiuB9s2c.es-ES.vtt 1.5 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/27. Define daysBetweenDates-oM3oyyQKQFU.ar.vtt 1.5 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-GO6kbL3QRBE.ar.vtt 1.5 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/02. Kalman Prediction-tSfmiuB9s2c.es-ES.vtt 1.5 kB
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles-fkUyTJNbdzU.es-ES.vtt 1.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-1s2dRczcu1A.zh-CN.vtt 1.5 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/03. Como Resolver Problemas-E6t0oGRXXh8.pt-BR.vtt 1.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-R4zq6mPPMxs.es-ES.vtt 1.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-R4zq6mPPMxs.en.vtt 1.5 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-SwxRWZaC1FM.ru.vtt 1.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/15. Equivalent Diagram-aUFWZ2uJuBE.ar.vtt 1.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-OgC5M2XdIac.en.vtt 1.5 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.zh-CN.vtt 1.5 kB
  • Part 06-Module 01-Lesson 02_Data Structures/19. Nd113 C5 L2 17 L Conclusion V1-a3Q8QSjpVHQ.en.vtt 1.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-_AhoOd8YUK0.it.vtt 1.5 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1-_DjfTytro6I.en.vtt 1.5 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/02. Intro To State-zfilXYrW4Gk.en.vtt 1.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-OgC5M2XdIac.zh-CN.vtt 1.5 kB
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles-fkUyTJNbdzU.it.vtt 1.5 kB
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles-fkUyTJNbdzU.en.vtt 1.5 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-TnFq6hufsYs.zh-CN.vtt 1.5 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/07. Graph Search -A8GjRaPJQ5E.en.vtt 1.5 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/17. Density-4Ri4nhHKtU0.ja.vtt 1.5 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/16. Try an Example-X29RjzKHsWU.en.vtt 1.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-wfjE0mVADIk.pt-PT.vtt 1.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-wfjE0mVADIk.pt.vtt 1.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-kfPWiMsnWFI.it.vtt 1.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/10. How Are Inputs Represented-kG94A6xHqZk.en.vtt 1.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-4jNzxstbCy0.ar.vtt 1.4 kB
  • Part 02-Module 01-Lesson 01_Introduction/02. Course Overview-QTFIJNBXx9w.en.vtt 1.4 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.zh-CN.vtt 1.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/15. Take the Next Step-L4vB8eu6Wo8.ja.vtt 1.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-_AhoOd8YUK0.en.vtt 1.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-_AhoOd8YUK0.pt-PT.vtt 1.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/03. Como Resolver Problemas-E6t0oGRXXh8.en.vtt 1.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-_AhoOd8YUK0.zh-CN.vtt 1.4 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.zh-CN.vtt 1.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-_AhoOd8YUK0.pt.vtt 1.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/39. Solution Step IV-H1oVKsgSsi0.zh-CN.vtt 1.4 kB
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles-fkUyTJNbdzU.ja.vtt 1.4 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/33. Nd113 Matrices L3 12 V1-BRLmFGScL_k.zh-CN.vtt 1.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-ASUXN9Ay35M.ja.vtt 1.4 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/04. Nd113 C6 L3 045 L Moving At An Angle Part2 V2-iI6zCp0RegM.en.vtt 1.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/28. Localization Summary-MVbo4OAgQCc.zh-CN.vtt 1.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/04. Using Sensor Data-vhl-SADfti8.zh-CN.vtt 1.4 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-9R44IyZ-aQI.it.vtt 1.4 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/20. Nd113 C7 19 L Color Masking-4U5fYTbSDg0.en.vtt 1.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-5vjhu_cssNQ.ja.vtt 1.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/20. Different Approach-czjMsAXjWVg.ar.vtt 1.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-kfPWiMsnWFI.ja.vtt 1.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1-_DjfTytro6I.ja.vtt 1.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/15. Separated Gaussians 2-edcfMK_bKXw.es-ES.vtt 1.4 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/08. Nd113 C6 L3 08 L Opposite Adjacent Hypotenuse V2-hJ-7qj9iHWo.en.vtt 1.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-7c7wYMftRSg.ar.vtt 1.4 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-cDub-OOrIRE.th.vtt 1.4 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.zh-CN.vtt 1.4 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/39. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.en.vtt 1.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-wfjE0mVADIk.en.vtt 1.4 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/02. Kalman Prediction-tSfmiuB9s2c.en.vtt 1.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-wfjE0mVADIk.it.vtt 1.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction-tSfmiuB9s2c.en.vtt 1.4 kB
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles-fkUyTJNbdzU.hr.vtt 1.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/19. Should We Implement It-M62yGhjmJoA.ja.vtt 1.4 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/07. Power of Trigonometry-yLMTfBq_I3k.en.vtt 1.4 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/01. Introduction to Gaussian distributions-VQetR_9lBZc.en.vtt 1.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/01. About This Lesson-xEBSzD-fwps.en.vtt 1.4 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.en.vtt 1.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-kfPWiMsnWFI.en.vtt 1.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/29. Step Two Helper Function-lpprz4op11k.ar.vtt 1.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-yYqN9Mf4jqw.pt-BR.vtt 1.4 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-9R44IyZ-aQI.en.vtt 1.4 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/05. Nd113 C6 L3 05 L Moving At 53 Degrees V2-VmoknN6xLKs.en.vtt 1.4 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/22. State Vector-st26ov_TVwM.zh-CN.vtt 1.4 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-YCQWVwsCZCk.en.vtt 1.4 kB
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.pt-BR.vtt 1.4 kB
  • Part 02-Module 01-Lesson 01_Introduction/02. Course Overview-QTFIJNBXx9w.zh-CN.vtt 1.4 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-9R44IyZ-aQI.es-ES.vtt 1.4 kB
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-OpNufHYgJCg.zh-CN.vtt 1.4 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/12. Working with Real Data-WvEcWtAz-OQ.zh-CN.vtt 1.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-yo8jf0U4hlc.es-ES.vtt 1.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-Lf2DYUCsUH4.it.vtt 1.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/35. Generalizing-SdMk3aROgSc.pt-BR.vtt 1.4 kB
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-OpNufHYgJCg.pt-BR.vtt 1.4 kB
  • Part 06-Module 01-Lesson 02_Data Structures/01. Nd113 C5 L2 01 L Lesson Overview V1-LLrp9jq381k.zh-CN.vtt 1.4 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/07. Quantifying State-9zMbwSqTZAc.zh-CN.vtt 1.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-jR7FERpsqe4.ja.vtt 1.4 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/04. Nd113 C6 L3 04 L Moving At An Angle V2-2KDq_ZzN3Mk.zh-CN.vtt 1.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.ar.vtt 1.4 kB
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-OpNufHYgJCg.ja.vtt 1.4 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/35. Generalizing-SdMk3aROgSc.es-ES.vtt 1.4 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability-PNiaE1fy-7k.zh-CN.vtt 1.4 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-Lf2DYUCsUH4.pt-PT.vtt 1.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-ASUXN9Ay35M.es-ES.vtt 1.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-Lf2DYUCsUH4.pt.vtt 1.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-OgC5M2XdIac.ja.vtt 1.3 kB
  • Part 01-Module 01-Lesson 01_Introduction/02. Intro to Self-Driving Cars Welcome From Sebastian-qZt87xwkHro.en.vtt 1.3 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1-_DjfTytro6I.zh-CN.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/16. Try an Example-X29RjzKHsWU.pt-BR.vtt 1.3 kB
  • Part 06-Module 01-Lesson 02_Data Structures/03. Nd113 C5 L2 03 L Design Tradeoffs V1-8IpVosy86Fo.zh-CN.vtt 1.3 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction-tSfmiuB9s2c.ja.vtt 1.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-kfPWiMsnWFI.zh-CN.vtt 1.3 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/02. Kalman Prediction-tSfmiuB9s2c.ja.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-2T1JONL0WyE.en.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-ZETmw5tFcFU.ja.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/07. Understanding a Problem-hkspB2e0S9A.ja.vtt 1.3 kB
  • Part 09-Module 01-Lesson 01_Congratulations! You've finished!/01. Congratulations on completing Intro to Self-Driving Cars!-w640r8wujPw.zh-CN.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/16. Try an Example-X29RjzKHsWU.zh-CN.vtt 1.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-kfPWiMsnWFI.pt-PT.vtt 1.3 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-TtmQ7YCw_1Y.pt-BR.vtt 1.3 kB
  • Part 04-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.zh-CN.vtt 1.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-kfPWiMsnWFI.pt.vtt 1.3 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/15. Equivalent Diagram-aUFWZ2uJuBE.pt-BR.vtt 1.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-wfjE0mVADIk.zh-CN.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/10. How Are Inputs Represented-kG94A6xHqZk.zh-CN.vtt 1.3 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/15. Separated Gaussians 2-edcfMK_bKXw.ja.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-YCQWVwsCZCk.zh-CN.vtt 1.3 kB
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/02. Intro To State-zfilXYrW4Gk.zh-CN.vtt 1.3 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/05. Nd113 C7 03 L Vision And SelfDriving Cars V1-dezDkQ47NaY.zh-CN.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/39. Solution Step IV-H1oVKsgSsi0.pt-BR.vtt 1.3 kB
  • Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-27Ed1GI4j84.pt-BR.vtt 1.3 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-yo8jf0U4hlc.ja.vtt 1.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-SW_wvez0izo.ru.vtt 1.3 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/07. Graph Search -A8GjRaPJQ5E.zh-CN.vtt 1.3 kB
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles-fkUyTJNbdzU.zh-CN.vtt 1.3 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/09. Nd113 C6 L3 09 L Trigonometric Ratios V2-wquwvrT9g_U.zh-CN.vtt 1.3 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-yo8jf0U4hlc.en.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-YCQWVwsCZCk.ja.vtt 1.3 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-9R44IyZ-aQI.zh-CN.vtt 1.3 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/02. Bayes' Rule and Robotics-meNSO42JF6I.ar.vtt 1.3 kB
  • Part 02-Module 01-Lesson 03_Probability/01. Nd113 C1 L3 01 L Introducing Uncertainty V1-NDOm-0qN8e8.en.vtt 1.3 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/50. Nd113 C7 47 L Outro-YbWjhAVvdKc.en.vtt 1.3 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro-lDykH1UHq38.ja.vtt 1.3 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro-lDykH1UHq38.es-ES.vtt 1.3 kB
  • Part 02-Module 01-Lesson 03_Probability/03. Learning Objectives Explained-tAkq3iZLJ-c.en.vtt 1.3 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-OdVAt79eQak.en-GB.vtt 1.3 kB
  • Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-27Ed1GI4j84.ar.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-5vjhu_cssNQ.en.vtt 1.3 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/10. Rate Gyros-TmnecSf80b0.en.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/32. Real World Problem-lY0CYTfkLWo.en.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-2T1JONL0WyE.ja.vtt 1.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.bn.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/01. Nd113 Navigating L1 01 V1-5tdMvdcUF-E.en.vtt 1.3 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-wfjE0mVADIk.ja.vtt 1.3 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/15. Separated Gaussians 2-edcfMK_bKXw.en.vtt 1.3 kB
  • Part 01-Module 01-Lesson 01_Introduction/02. Intro to Self-Driving Cars Welcome From Sebastian-qZt87xwkHro.zh-CN.vtt 1.3 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/01. L2 01 V2-GRgbA3XBy6w.zh-CN.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/32. Real World Problem-lY0CYTfkLWo.ja.vtt 1.3 kB
  • Part 02-Module 01-Lesson 03_Probability/25. Summary-hIEDvyCETEw.it.vtt 1.3 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/35. Generalizing-SdMk3aROgSc.en.vtt 1.3 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/20. Nd113 C7 19 L Color Masking-4U5fYTbSDg0.zh-CN.vtt 1.3 kB
  • Part 02-Module 01-Lesson 03_Probability/25. Summary-hIEDvyCETEw.es-ES.vtt 1.3 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.en.vtt 1.3 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/01. Reducing Uncertainty-zuFMhmKQ--o.zh-CN.vtt 1.3 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-yYqN9Mf4jqw.es-ES.vtt 1.3 kB
  • Part 06-Module 01-Lesson 02_Data Structures/19. Nd113 C5 L2 17 L Conclusion V1-a3Q8QSjpVHQ.zh-CN.vtt 1.3 kB
  • Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-gGgqTGZ9TKg.ar.vtt 1.2 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-R4zq6mPPMxs.zh-CN.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/40. Conclusion-JmP5wzHFchc.ja.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-ZETmw5tFcFU.en.vtt 1.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-Lf2DYUCsUH4.en.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/03. Como Resolver Problemas-E6t0oGRXXh8.zh-CN.vtt 1.2 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/35. Generalizing-SdMk3aROgSc.ja.vtt 1.2 kB
  • Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes-YseJqD-1oUg.th.vtt 1.2 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Iz4ViIg9ZlQ.ar.vtt 1.2 kB
  • Part 02-Module 01-Lesson 03_Probability/25. Summary-hIEDvyCETEw.en.vtt 1.2 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/15. Equivalent Diagram-aUFWZ2uJuBE.it.vtt 1.2 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/39. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.zh-CN.vtt 1.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/01. About This Lesson-xEBSzD-fwps.zh-CN.vtt 1.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-jR7FERpsqe4.es-ES.vtt 1.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-Lf2DYUCsUH4.es-ES.vtt 1.2 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-rczAG7meAY4.ja.vtt 1.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-jR7FERpsqe4.en.vtt 1.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-Lf2DYUCsUH4.es.vtt 1.2 kB
  • Part 02-Module 01-Lesson 10_Gaussian Distributions/01. Introduction to Gaussian distributions-VQetR_9lBZc.zh-CN.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-4jNzxstbCy0.ja.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/15. Take the Next Step-L4vB8eu6Wo8.en.vtt 1.2 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-qDGSvvabN18.th.vtt 1.2 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/01. Nd113 C2 L3 01 L Connection To Kalman Filters V1-bwaakDKn4nI.en.vtt 1.2 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro-lDykH1UHq38.en.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/25. Making Progress Is Good-cUFZPid3yVw.ar.vtt 1.2 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/03. L1 02 B V2-AFuQ1i3eUN8.en.vtt 1.2 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/15. Equivalent Diagram-aUFWZ2uJuBE.es-ES.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/19. Should We Implement It-M62yGhjmJoA.en.vtt 1.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-Lf2DYUCsUH4.zh-CN.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-2T1JONL0WyE.zh-CN.vtt 1.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.ru.vtt 1.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-ASUXN9Ay35M.pt-PT.vtt 1.2 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-oZDLtTdhDy4.es-ES.vtt 1.2 kB
  • Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-uhrL5fatt3E.ar.vtt 1.2 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/04. Nd113 C6 L3 045 L Moving At An Angle Part2 V2-iI6zCp0RegM.zh-CN.vtt 1.2 kB
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.es-ES.vtt 1.2 kB
  • Part 02-Module 01-Lesson 03_Probability/25. Summary-hIEDvyCETEw.ja.vtt 1.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-ASUXN9Ay35M.pt.vtt 1.2 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/35. Generalizing-SdMk3aROgSc.zh-CN.vtt 1.2 kB
  • Part 08-Module 01-Lesson 01_Computer Vision and Classification/50. Nd113 C7 47 L Outro-YbWjhAVvdKc.zh-CN.vtt 1.2 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-btGdX0ZpkNU.th.vtt 1.2 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-9R44IyZ-aQI.pt-BR.vtt 1.2 kB
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.it.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/07. Understanding a Problem-hkspB2e0S9A.en.vtt 1.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.es-ES.vtt 1.2 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-yYqN9Mf4jqw.ja.vtt 1.2 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-rczAG7meAY4.en.vtt 1.2 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-Y7Mr_5Hfe24.es-ES.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-5vjhu_cssNQ.zh-CN.vtt 1.2 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-rczAG7meAY4.es-ES.vtt 1.2 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-05upwXtARuo.th.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/01. Nd113 Navigating L1 01 V1-5tdMvdcUF-E.zh-CN.vtt 1.2 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction-tSfmiuB9s2c.zh-CN.vtt 1.2 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/02. Kalman Prediction-tSfmiuB9s2c.zh-CN.vtt 1.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-jR7FERpsqe4.it.vtt 1.2 kB
  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.zh-CN.vtt 1.2 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Iz4ViIg9ZlQ.pt-BR.vtt 1.2 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-oZDLtTdhDy4.en.vtt 1.2 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/15. Conclusion-gMbDqd4ItiU.en.vtt 1.2 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/01. L3 01 V2-a_eHxfy5tnI.en.vtt 1.2 kB
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.th.vtt 1.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-ASUXN9Ay35M.it.vtt 1.2 kB
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.en.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/32. Real World Problem-lY0CYTfkLWo.zh-CN.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-ZETmw5tFcFU.zh-CN.vtt 1.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-jR7FERpsqe4.zh-CN.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/20. Different Approach-czjMsAXjWVg.es-MX.vtt 1.2 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/15. Equivalent Diagram-aUFWZ2uJuBE.en.vtt 1.2 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-TtmQ7YCw_1Y.es-ES.vtt 1.2 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/15. Separated Gaussians 2-edcfMK_bKXw.zh-CN.vtt 1.2 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/02. Bayes' Rule and Robotics-meNSO42JF6I.pt-BR.vtt 1.2 kB
  • Part 02-Module 01-Lesson 03_Probability/01. Nd113 C1 L3 01 L Introducing Uncertainty V1-NDOm-0qN8e8.zh-CN.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-2T1JONL0WyE.pt-BR.vtt 1.2 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-TtmQ7YCw_1Y.ja.vtt 1.2 kB
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.ja.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/12. Obey the Rules-NZq4vDooURs.ar.vtt 1.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-jR7FERpsqe4.pt-PT.vtt 1.2 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/07. Power of Trigonometry-yLMTfBq_I3k.zh-CN.vtt 1.2 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-jR7FERpsqe4.pt.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/40. Conclusion-JmP5wzHFchc.en.vtt 1.2 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/17. Uniform Cost Search 4-yO_uxVtEjq8.en.vtt 1.2 kB
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.hr.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/29. Step Two Helper Function-lpprz4op11k.ja.vtt 1.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-7c7wYMftRSg.ja.vtt 1.1 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/17. Uniform Cost Search 4-yO_uxVtEjq8.zh-CN.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-ASUXN9Ay35M.zh-CN.vtt 1.1 kB
  • Part 03-Module 01-Lesson 05_Implement Matrix Class/01. Nd113P2 C2 L5 01 L Implement Matrix-0Ie9IxW9VDw.en.vtt 1.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/35. Finish daysBetweenDates--70lzVJyS8Y.ar.vtt 1.1 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-GO6kbL3QRBE.it.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-Lf2DYUCsUH4.ja.vtt 1.1 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-EhLR8l5XAiQ.es-ES.vtt 1.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-yYqN9Mf4jqw.en.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-ASUXN9Ay35M.en.vtt 1.1 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-EhLR8l5XAiQ.en.vtt 1.1 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-yo8jf0U4hlc.zh-CN.vtt 1.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/07. Understanding a Problem-hkspB2e0S9A.pt-BR.vtt 1.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-wN445aeFEFI.en.vtt 1.1 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-GO6kbL3QRBE.es-ES.vtt 1.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/27. Define daysBetweenDates-oM3oyyQKQFU.en.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.pt-PT.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.pt.vtt 1.1 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/08. Nd113 C6 L3 08 L Opposite Adjacent Hypotenuse V2-hJ-7qj9iHWo.zh-CN.vtt 1.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-aBBmlnd7okQ.ar.vtt 1.1 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-9R44IyZ-aQI.ja.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.es-ES.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.ja.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.es.vtt 1.1 kB
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.ar.vtt 1.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/15. Take the Next Step-L4vB8eu6Wo8.zh-CN.vtt 1.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2-WYA5Zbf8HC4.th.vtt 1.1 kB
  • Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/10. Rate Gyros-TmnecSf80b0.zh-CN.vtt 1.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/29. Step Two Helper Function-lpprz4op11k.en.vtt 1.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.it.vtt 1.1 kB
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1-T4A5uyqesjo.th.vtt 1.1 kB
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/03. L1 02 B V2-AFuQ1i3eUN8.zh-CN.vtt 1.1 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro-lDykH1UHq38.zh-CN.vtt 1.1 kB
  • Part 03-Module 01-Lesson 05_Implement Matrix Class/01. Nd113P2 C2 L5 01 L Implement Matrix-0Ie9IxW9VDw.zh-CN.vtt 1.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/15. Equivalent Diagram-aUFWZ2uJuBE.ja.vtt 1.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-4jNzxstbCy0.en.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.it.vtt 1.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-wN445aeFEFI.ja.vtt 1.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-OdVAt79eQak.ar.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.it.vtt 1.1 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/15. Conclusion-gMbDqd4ItiU.zh-CN.vtt 1.1 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/02. Intro To Probability Distribution 1-gqPjMDVFvNg.en.vtt 1.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.es-ES.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.zh-CN.vtt 1.1 kB
  • Part 02-Module 01-Lesson 03_Probability/03. Learning Objectives Explained-tAkq3iZLJ-c.zh-CN.vtt 1.1 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-Y7Mr_5Hfe24.ja.vtt 1.1 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere-BlC2BwoDxL8.es-ES.vtt 1.1 kB
  • Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-dGffszQYzqc.ar.vtt 1.1 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/04. Dependent Events and Conditional Probability-GDWdCH4ilDI.en.vtt 1.1 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-_AAkw_fynwc.es-ES.vtt 1.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/40. Conclusion-JmP5wzHFchc.pt-BR.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.pt-PT.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.pt.vtt 1.1 kB
  • Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.ar.vtt 1.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-5vjhu_cssNQ.pt-BR.vtt 1.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.en.vtt 1.1 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Iz4ViIg9ZlQ.ja.vtt 1.1 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/05. Nd113 C6 L3 05 L Moving At 53 Degrees V2-VmoknN6xLKs.zh-CN.vtt 1.1 kB
  • Part 06-Module 01-Lesson 03_The Search Problem/22. Search Comparison 3-4KHmQEoqmeI.en.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.es-MX.vtt 1.1 kB
  • Part 02-Module 01-Lesson 03_Probability/12. Probability In Robotics-BKLwvL1D0yE.en.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.ja.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.en.vtt 1.1 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-SwxRWZaC1FM.ja.vtt 1.1 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-v30w4s2djfc.es-ES.vtt 1.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/19. Should We Implement It-M62yGhjmJoA.zh-CN.vtt 1.1 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/20. Different Approach-czjMsAXjWVg.en.vtt 1.1 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-tI0J14yQr1s.ar.vtt 1.1 kB
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.th.vtt 1.1 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-TtmQ7YCw_1Y.en.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.es-ES.vtt 1.1 kB
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/01. Nd113 C2 L3 01 L Connection To Kalman Filters V1-bwaakDKn4nI.zh-CN.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.es-ES.vtt 1.1 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-GO6kbL3QRBE.en.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.es.vtt 1.1 kB
  • Part 03-Module 01-Lesson 01_Section Overview/01. Introduction to Matrices-Ugx3mldc0lE.en.vtt 1.1 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-EhLR8l5XAiQ.ja.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.es.vtt 1.1 kB
  • Part 02-Module 01-Lesson 03_Probability/25. Summary-hIEDvyCETEw.zh-CN.vtt 1.1 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.en.vtt 1.1 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-Y7Mr_5Hfe24.en.vtt 1.0 kB
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/01. L3 01 V2-a_eHxfy5tnI.zh-CN.vtt 1.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.zh-CN.vtt 1.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/07. Understanding a Problem-hkspB2e0S9A.zh-CN.vtt 1.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/32. Real World Problem-lY0CYTfkLWo.pt-BR.vtt 1.0 kB
  • Part 03-Module 01-Lesson 01_Section Overview/01. Introduction to Matrices-Ugx3mldc0lE.zh-CN.vtt 1.0 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-SwxRWZaC1FM.es-ES.vtt 1.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/27. Define daysBetweenDates-oM3oyyQKQFU.ja.vtt 1.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/15. Take the Next Step-L4vB8eu6Wo8.pt-BR.vtt 1.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.bn.vtt 1.0 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability-PNiaE1fy-7k.ja.vtt 1.0 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-cDub-OOrIRE.ar.vtt 1.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-YCQWVwsCZCk.pt-BR.vtt 1.0 kB
  • Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-gGgqTGZ9TKg.pt-BR.vtt 1.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/25. Making Progress Is Good-cUFZPid3yVw.es-AR.vtt 1.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.pt-PT.vtt 1.0 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-_AAkw_fynwc.en.vtt 1.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.pt.vtt 1.0 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rules-CohZnkZMOxE.th.vtt 1.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/17. Harder Example--eAKNo9cA6Y.ar.vtt 1.0 kB
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.th.vtt 1.0 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.ja.vtt 1.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-7c7wYMftRSg.en.vtt 1.0 kB
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-64EjAbqrtmo.th.vtt 1.0 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.pt-BR.vtt 1.0 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/15. Equivalent Diagram-aUFWZ2uJuBE.zh-CN.vtt 1.0 kB
  • Part 02-Module 01-Lesson 03_Probability/12. Probability In Robotics-BKLwvL1D0yE.zh-CN.vtt 1.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.en.vtt 1.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/29. Step Two Helper Function-lpprz4op11k.zh-CN.vtt 1.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.pt-PT.vtt 1.0 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-rczAG7meAY4.zh-CN.vtt 1.0 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Iz4ViIg9ZlQ.it.vtt 1.0 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-v30w4s2djfc.en.vtt 1.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/40. Conclusion-JmP5wzHFchc.zh-CN.vtt 1.0 kB
  • Part 06-Module 01-Lesson 01_How to Solve Problems/27. Define daysBetweenDates-oM3oyyQKQFU.pt-BR.vtt 1.0 kB
  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.pt.vtt 1.0 kB
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-_AAkw_fynwc.ja.vtt 1.0 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-GO6kbL3QRBE.zh-CN.vtt 1.0 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-oZDLtTdhDy4.zh-CN.vtt 1.0 kB
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.en.vtt 1.0 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Iz4ViIg9ZlQ.es-ES.vtt 1.0 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-EhLR8l5XAiQ.zh-CN.vtt 1.0 kB
  • Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-GO6kbL3QRBE.pt-BR.vtt 1.0 kB
  • Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere-BlC2BwoDxL8.en.vtt 1.0 kB
  • Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-omC0zbJyzUY.ar.vtt 1.0 kB
  • Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-gGgqTGZ9TKg.en.vtt 997 Bytes
  • Part 02-Module 01-Lesson 03_Probability/05. Probability-arJxFjaMsBM.es-ES.vtt 997 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-7c7wYMftRSg.zh-CN.vtt 995 Bytes
  • Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-gGgqTGZ9TKg.it.vtt 994 Bytes
  • Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-uhrL5fatt3E.pt-BR.vtt 988 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/22. Search Comparison 3-4KHmQEoqmeI.zh-CN.vtt 988 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/29. Step Two Helper Function-lpprz4op11k.pt-BR.vtt 988 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-zc_GQiISQ3E.es-ES.vtt 987 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-zc_GQiISQ3E.ja.vtt 986 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.it.vtt 984 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/20. Different Approach-czjMsAXjWVg.ja.vtt 983 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-SwxRWZaC1FM.en.vtt 983 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/27. Define daysBetweenDates-oM3oyyQKQFU.zh-CN.vtt 983 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.it.vtt 982 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/02. Bayes' Rule and Robotics-meNSO42JF6I.en.vtt 979 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.zh-CN.vtt 978 Bytes
  • Part 06-Module 01-Lesson 02_Data Structures/09. Nd113 C5 L2 08 L Keys And Values V1-1FO2KHIJYwY.en.vtt 975 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-aBBmlnd7okQ.es-ES.vtt 975 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/35. Finish daysBetweenDates--70lzVJyS8Y.ja.vtt 974 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere-BlC2BwoDxL8.ja.vtt 973 Bytes
  • Part 02-Module 01-Lesson 03_Probability/05. Probability-arJxFjaMsBM.it.vtt 972 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-7c7wYMftRSg.pt-BR.vtt 971 Bytes
  • Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-gGgqTGZ9TKg.es-ES.vtt 971 Bytes
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1-lHuZpDkfwq8.th.vtt 970 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-4jNzxstbCy0.zh-CN.vtt 970 Bytes
  • Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-27Ed1GI4j84.it.vtt 969 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.en.vtt 968 Bytes
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.it.vtt 967 Bytes
  • Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-27Ed1GI4j84.es-ES.vtt 967 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-tiAFliSz9CY.ja.vtt 967 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/15. Uniform Cost Search 2-_cSf_1QNaOY.en.vtt 967 Bytes
  • Part 02-Module 01-Lesson 05_Programming Probability in Python/01. Learn by Doing-ypPeggeRdTE.en.vtt 967 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-QCnPJcNprEU.it.vtt 966 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.ja.vtt 966 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-wN445aeFEFI.pt-BR.vtt 966 Bytes
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.zh-CN.vtt 964 Bytes
  • Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-27Ed1GI4j84.en.vtt 964 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.ja.vtt 964 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-qDGSvvabN18.ar.vtt 963 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-yYqN9Mf4jqw.zh-CN.vtt 962 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/20. Different Approach-czjMsAXjWVg.zh-CN.vtt 962 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-QCnPJcNprEU.es-ES.vtt 961 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-tpsUlBbz5Jo.es-ES.vtt 961 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-wN445aeFEFI.zh-CN.vtt 961 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-QCnPJcNprEU.pt-PT.vtt 961 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/19. Should We Implement It-M62yGhjmJoA.pt-BR.vtt 960 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-ZETmw5tFcFU.pt-BR.vtt 959 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-QCnPJcNprEU.pt.vtt 958 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-Y7Mr_5Hfe24.zh-CN.vtt 958 Bytes
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.hr.vtt 957 Bytes
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.es-ES.vtt 957 Bytes
  • Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-gGgqTGZ9TKg.hr.vtt 956 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Iz4ViIg9ZlQ.en.vtt 953 Bytes
  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.zh-CN.vtt 953 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-aBBmlnd7okQ.en.vtt 952 Bytes
  • Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-gGgqTGZ9TKg.ja.vtt 952 Bytes
  • Part 02-Module 01-Lesson 03_Probability/05. Probability-arJxFjaMsBM.en.vtt 951 Bytes
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/27. Working With Matrices-nruxu8pr6i8.en.vtt 951 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-QCnPJcNprEU.ja.vtt 951 Bytes
  • Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-27Ed1GI4j84.ja.vtt 949 Bytes
  • Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-uhrL5fatt3E.es-ES.vtt 948 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.zh-CN.vtt 948 Bytes
  • Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-uhrL5fatt3E.it.vtt 945 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/20. Different Approach-czjMsAXjWVg.pt-BR.vtt 944 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-aBBmlnd7okQ.pt-BR.vtt 944 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.zh-CN.vtt 944 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-tpsUlBbz5Jo.en.vtt 943 Bytes
  • Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-dGffszQYzqc.hr.vtt 942 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/02. Intro To Probability Distribution 1-gqPjMDVFvNg.zh-CN.vtt 942 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-QCnPJcNprEU.en.vtt 940 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-oZDLtTdhDy4.ja.vtt 938 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-OdVAt79eQak.pt-BR.vtt 937 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-zc_GQiISQ3E.en.vtt 936 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/12. Obey the Rules-NZq4vDooURs.ja.vtt 935 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-TtmQ7YCw_1Y.zh-CN.vtt 930 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.ru.vtt 929 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-fRYtUP0P4Lg.ja.vtt 928 Bytes
  • Part 02-Module 01-Lesson 03_Probability/05. Probability-arJxFjaMsBM.hr.vtt 926 Bytes
  • Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-27Ed1GI4j84.hr.vtt 925 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-SW_wvez0izo.ja.vtt 925 Bytes
  • Part 01-Module 02-Lesson 02_Get Ready/01. Intro to Self-Driving Cars How Did You Do-LGZJrihKAg4.en.vtt 923 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/25. Making Progress Is Good-cUFZPid3yVw.pt-BR.vtt 923 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/32. Sliding Blocks Puzzle 1-jchVkcBg9HQ.en.vtt 917 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.es-MX.vtt 917 Bytes
  • Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-dGffszQYzqc.it.vtt 915 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/15. Uniform Cost Search 2-_cSf_1QNaOY.zh-CN.vtt 915 Bytes
  • Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.pt-BR.vtt 914 Bytes
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/11. Trigonometry And Vehicle Motion-WY3T-9GHI_0.en.vtt 914 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/25. Making Progress Is Good-cUFZPid3yVw.en.vtt 913 Bytes
  • Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-gGgqTGZ9TKg.zh-CN.vtt 912 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-7WNYd36EDh4.ar.vtt 912 Bytes
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.ja.vtt 911 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1--TBAfU1cjRU.th.vtt 910 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-_AAkw_fynwc.zh-CN.vtt 909 Bytes
  • Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-27Ed1GI4j84.zh-CN.vtt 908 Bytes
  • Part 06-Module 01-Lesson 02_Data Structures/09. Nd113 C5 L2 08 L Keys And Values V1-1FO2KHIJYwY.zh-CN.vtt 907 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-84mZj582H64.ar.vtt 905 Bytes
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/08. Lesson Outline-jh7wLGXrm3E.en.vtt 904 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/04. Dependent Events and Conditional Probability-GDWdCH4ilDI.zh-CN.vtt 904 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2-WYA5Zbf8HC4.ar.vtt 903 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rules-CohZnkZMOxE.ja.vtt 902 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-v30w4s2djfc.zh-CN.vtt 901 Bytes
  • Part 02-Module 01-Lesson 03_Probability/05. Probability-arJxFjaMsBM.ja.vtt 900 Bytes
  • Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-bNoS6LQEFrI.ar.vtt 900 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-btGdX0ZpkNU.ar.vtt 899 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/25. Making Progress Is Good-cUFZPid3yVw.zh-CN.vtt 899 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-omC0zbJyzUY.pt-BR.vtt 899 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian--9AVZ-N_gbM.en.vtt 898 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/08. Breath First Search 1-70yXCOfKMPA.en.vtt 897 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-SW_wvez0izo.es-ES.vtt 897 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-aBBmlnd7okQ.zh-CN.vtt 896 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rules-CohZnkZMOxE.ar.vtt 896 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.ja.vtt 896 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-SW_wvez0izo.es.vtt 895 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-zc_GQiISQ3E.zh-CN.vtt 894 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/02. Bayes' Rule and Robotics-meNSO42JF6I.zh-CN.vtt 892 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.ru.vtt 891 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-SwxRWZaC1FM.zh-CN.vtt 891 Bytes
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/01. Nd113 Bayesian L9 01 V1-dWLZSQiN5vI.zh-CN.vtt 888 Bytes
  • Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-uhrL5fatt3E.ja.vtt 887 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/25. Making Progress Is Good-cUFZPid3yVw.ja.vtt 885 Bytes
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.pt-BR.vtt 884 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian--9AVZ-N_gbM.es-ES.vtt 884 Bytes
  • Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-uhrL5fatt3E.en.vtt 883 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-SW_wvez0izo.pt-PT.vtt 881 Bytes
  • Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-dGffszQYzqc.es-ES.vtt 880 Bytes
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.en.vtt 879 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-SW_wvez0izo.pt.vtt 878 Bytes
  • Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-dGffszQYzqc.en.vtt 874 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-QCnPJcNprEU.zh-CN.vtt 874 Bytes
  • Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.ja.vtt 872 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-SW_wvez0izo.it.vtt 871 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/12. Obey the Rules-NZq4vDooURs.en.vtt 870 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere-BlC2BwoDxL8.zh-CN.vtt 869 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-fRYtUP0P4Lg.es-ES.vtt 869 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-CMQBKuYjPBM.en-GB.vtt 868 Bytes
  • Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.it.vtt 866 Bytes
  • Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-dGffszQYzqc.pt-BR.vtt 866 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/13. Uniform Cost Search-oPe45CJ_o0k.en.vtt 866 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/35. Finish daysBetweenDates--70lzVJyS8Y.en-US.vtt 865 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.pt-PT.vtt 861 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/35. Finish daysBetweenDates--70lzVJyS8Y.en.vtt 860 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-PsyqM704q2Y.ja.vtt 859 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-4jNzxstbCy0.pt-BR.vtt 859 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.pt.vtt 858 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-v30w4s2djfc.ja.vtt 858 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian--9AVZ-N_gbM.ja.vtt 857 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-SW_wvez0izo.en.vtt 856 Bytes
  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/01. Nd113 Bayesian L9 01 V1-dWLZSQiN5vI.en.vtt 855 Bytes
  • Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-uhrL5fatt3E.hr.vtt 854 Bytes
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/27. Working With Matrices-nruxu8pr6i8.zh-CN.vtt 853 Bytes
  • Part 02-Module 01-Lesson 05_Programming Probability in Python/01. Learn by Doing-ypPeggeRdTE.zh-CN.vtt 851 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-hzDsYZ61D5M.es-ES.vtt 851 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-tiAFliSz9CY.pt-BR.vtt 851 Bytes
  • Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.es-ES.vtt 850 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/29. A Search 5-7d4iHfJXPso.en.vtt 849 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-QIQBb4nLsHc.ar.vtt 847 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-aBBmlnd7okQ.ja.vtt 846 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-fRYtUP0P4Lg.en.vtt 846 Bytes
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1-T4A5uyqesjo.ar.vtt 845 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-cDub-OOrIRE.es-ES.vtt 845 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1--TBAfU1cjRU.ar.vtt 844 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/08. Breath First Search 1-70yXCOfKMPA.zh-CN.vtt 844 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/32. Sliding Blocks Puzzle 1-jchVkcBg9HQ.zh-CN.vtt 843 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-GO6kbL3QRBE.ja.vtt 841 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-tpsUlBbz5Jo.zh-CN.vtt 841 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/35. Finish daysBetweenDates--70lzVJyS8Y.zh-CN.vtt 840 Bytes
  • Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes-YseJqD-1oUg.ar.vtt 838 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-cDub-OOrIRE.it.vtt 837 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-tI0J14yQr1s.es-ES.vtt 837 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/17. Harder Example--eAKNo9cA6Y.ja.vtt 837 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.bn.vtt 833 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-tI0J14yQr1s.it.vtt 832 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/10. Breath First Search 3--ed_C9x8rWs.en.vtt 830 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.bn.vtt 830 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-05upwXtARuo.ar.vtt 829 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-PsyqM704q2Y.es-ES.vtt 829 Bytes
  • Part 06-Module 01-Lesson 04_Implement Route Planner/01. Nd113 Navigating L3 01 V1-NGSaeofqZPc.en.vtt 828 Bytes
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.zh-CN.vtt 828 Bytes
  • Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.en.vtt 826 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-hzDsYZ61D5M.pt-PT.vtt 825 Bytes
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/08. Lesson Outline-jh7wLGXrm3E.zh-CN.vtt 824 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/14. Uniform Cost Search 1-nBdlU4jIDqU.en.vtt 823 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-hzDsYZ61D5M.pt.vtt 822 Bytes
  • Part 02-Module 01-Lesson 03_Probability/05. Probability-arJxFjaMsBM.zh-CN.vtt 821 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian--9AVZ-N_gbM.zh-CN.vtt 821 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/13. Uniform Cost Search-oPe45CJ_o0k.zh-CN.vtt 820 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-tI0J14yQr1s.ja.vtt 819 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function-DV2cX9W0tT8.es-ES.vtt 819 Bytes
  • Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-dGffszQYzqc.zh-CN.vtt 817 Bytes
  • Part 01-Module 02-Lesson 02_Get Ready/01. Intro to Self-Driving Cars How Did You Do-LGZJrihKAg4.zh-CN.vtt 817 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/02. Nd113 C5 L1 02 L About This Lesson V1-XOSFGuB2mRs.en.vtt 814 Bytes
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/05. L1 04 B V2-jR7_6Zqq228.en.vtt 813 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-mFfbts1lAEo.th.vtt 813 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-OdVAt79eQak.ja.vtt 813 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.it.vtt 810 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-hzDsYZ61D5M.it.vtt 810 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.es-ES.vtt 809 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.zh-CN.vtt 806 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.es.vtt 806 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-cDub-OOrIRE.ja.vtt 805 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-lmuonrQp_lM.en-GB.vtt 804 Bytes
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/07. L1 06 B V2-GRaIUM6s6B4.en.vtt 800 Bytes
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.ar.vtt 799 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-tI0J14yQr1s.en.vtt 798 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.en.vtt 798 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-hzDsYZ61D5M.zh-CN.vtt 795 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-tiAFliSz9CY.en.vtt 794 Bytes
  • Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.hr.vtt 792 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/24. Summary-w5fm_dJrImE.es-ES.vtt 791 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-omC0zbJyzUY.en.vtt 790 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-cDub-OOrIRE.en.vtt 789 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/14. Uniform Cost Search 1-nBdlU4jIDqU.zh-CN.vtt 789 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements-gDO4sF8gR9k.es-ES.vtt 789 Bytes
  • Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-uhrL5fatt3E.zh-CN.vtt 787 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements-gDO4sF8gR9k.es.vtt 787 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements-gDO4sF8gR9k.en.vtt 786 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Iz4ViIg9ZlQ.zh-CN.vtt 785 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements-gDO4sF8gR9k.it.vtt 785 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-hzDsYZ61D5M.en.vtt 784 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3-m1LSU9SPZ2k.ar.vtt 783 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-dyqgMA5zRko.es-ES.vtt 783 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/02. Introduction To Conditional Probability--_j5NZN2Tfs.en.vtt 781 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements-gDO4sF8gR9k.zh-CN.vtt 779 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-nUxwwMNKIYo.th.vtt 779 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-7k5oAaZamCA.th.vtt 777 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-3XiisY0IPPU.ja.vtt 777 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-OdVAt79eQak.es-ES.vtt 777 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/24. Summary-w5fm_dJrImE.en.vtt 775 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.ru.vtt 774 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-PsyqM704q2Y.en.vtt 773 Bytes
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.th.vtt 772 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-OdVAt79eQak.en.vtt 772 Bytes
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/11. Trigonometry And Vehicle Motion-WY3T-9GHI_0.zh-CN.vtt 772 Bytes
  • Part 06-Module 01-Lesson 04_Implement Route Planner/01. Nd113 Navigating L3 01 V1-NGSaeofqZPc.zh-CN.vtt 772 Bytes
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/19. Nd113 C L2 01 V1-h_P7ceb5ido.en.vtt 770 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-0gcTEExMH3k.en.vtt 770 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2-WYA5Zbf8HC4.pt-BR.vtt 769 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-GlmS_jox08s.th.vtt 768 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rules-CohZnkZMOxE.it.vtt 767 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-fRYtUP0P4Lg.zh-CN.vtt 767 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-SW_wvez0izo.zh-CN.vtt 767 Bytes
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.ar.vtt 765 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-btGdX0ZpkNU.it.vtt 764 Bytes
  • Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-dGffszQYzqc.ja.vtt 762 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function-DV2cX9W0tT8.en.vtt 762 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-cDub-OOrIRE.pt-BR.vtt 761 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/08. The First Rule-yh00phtQ-vE.ar.vtt 761 Bytes
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/05. L1 04 B V2-jR7_6Zqq228.zh-CN.vtt 760 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.zh-Hans.vtt 760 Bytes
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/10. Objects-H8EBnCkKcds.en.vtt 759 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-omC0zbJyzUY.es-ES.vtt 757 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-96Cao3VKUok.es-ES.vtt 756 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-hzDsYZ61D5M.ja.vtt 755 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-qDGSvvabN18.pt-BR.vtt 753 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-cDub-OOrIRE.zh-CN.vtt 752 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-0gcTEExMH3k.es-ES.vtt 750 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/12. Obey the Rules-NZq4vDooURs.zh-CN.vtt 750 Bytes
  • Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-bNoS6LQEFrI.es-ES.vtt 748 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-dSyPBL0jozI.es-ES.vtt 747 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rules-CohZnkZMOxE.es-ES.vtt 746 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/10. Breath First Search 3--ed_C9x8rWs.zh-CN.vtt 743 Bytes
  • Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-bNoS6LQEFrI.it.vtt 742 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-dyqgMA5zRko.en.vtt 738 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-7WNYd36EDh4.pt-BR.vtt 738 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/01. Conditional Probability-Fda3U2HGNVM.en.vtt 736 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1--TBAfU1cjRU.pt-BR.vtt 735 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-qDGSvvabN18.en.vtt 734 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/17. Harder Example--eAKNo9cA6Y.en.vtt 734 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-qDGSvvabN18.ja.vtt 730 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-QIQBb4nLsHc.es-ES.vtt 729 Bytes
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-HB8b7sZQFGs.th.vtt 729 Bytes
  • Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-bNoS6LQEFrI.pt-BR.vtt 728 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-btGdX0ZpkNU.es-ES.vtt 728 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-7WNYd36EDh4.ja.vtt 727 Bytes
  • Part 05-Module 01-Lesson 02_C++ Optimization Practice/19. Nd113 C L2 01 V1-h_P7ceb5ido.zh-CN.vtt 726 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.bn.vtt 725 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-UX3W8TUKbJ0.it.vtt 724 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-96Cao3VKUok.en.vtt 724 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/24. Summary-w5fm_dJrImE.zh-CN.vtt 724 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-ys9w-NNKCcU.th.vtt 723 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-96Cao3VKUok.ja.vtt 722 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements-gDO4sF8gR9k.ja.vtt 722 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-dSyPBL0jozI.en.vtt 718 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-QIQBb4nLsHc.ja.vtt 717 Bytes
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1-lHuZpDkfwq8.ar.vtt 717 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-V_Gqm42WodI.th.vtt 717 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-omC0zbJyzUY.ja.vtt 716 Bytes
  • Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-bNoS6LQEFrI.en.vtt 715 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/02. Introduction To Conditional Probability--_j5NZN2Tfs.zh-CN.vtt 714 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rules-CohZnkZMOxE.en.vtt 714 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-tI0J14yQr1s.zh-CN.vtt 713 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.bn.vtt 713 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2-WYA5Zbf8HC4.it.vtt 712 Bytes
  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/10. Objects-H8EBnCkKcds.zh-CN.vtt 711 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function-DV2cX9W0tT8.zh-CN.vtt 711 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-qDGSvvabN18.zh-CN.vtt 708 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians-QAqsIWVVX0Y.es-ES.vtt 708 Bytes
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1-T4A5uyqesjo.pt-BR.vtt 705 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.pt-PT.vtt 705 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/29. A Search 5-7d4iHfJXPso.zh-CN.vtt 705 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-btGdX0ZpkNU.en.vtt 704 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.pt.vtt 702 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-tI0J14yQr1s.pt-BR.vtt 702 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-QIQBb4nLsHc.it.vtt 702 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-9SbUxcyDTaQ.th.vtt 700 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1--F2gJXWbN6s.pt-PT.vtt 698 Bytes
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/07. L1 06 B V2-GRaIUM6s6B4.zh-CN.vtt 698 Bytes
  • Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes-YseJqD-1oUg.it.vtt 697 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function-DV2cX9W0tT8.ja.vtt 697 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-PsyqM704q2Y.zh-CN.vtt 696 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1--F2gJXWbN6s.pt.vtt 696 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-UX3W8TUKbJ0.es-ES.vtt 695 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/02. Nd113 C5 L1 02 L About This Lesson V1-XOSFGuB2mRs.zh-CN.vtt 695 Bytes
  • Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes-YseJqD-1oUg.pt-BR.vtt 695 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rules-CohZnkZMOxE.pt-BR.vtt 695 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.it.vtt 695 Bytes
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.it.vtt 695 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-UX3W8TUKbJ0.es.vtt 693 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/17. Harder Example--eAKNo9cA6Y.pt-BR.vtt 693 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/17. Harder Example--eAKNo9cA6Y.zh-CN.vtt 691 Bytes
  • Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-bNoS6LQEFrI.hr.vtt 690 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians-QAqsIWVVX0Y.ja.vtt 688 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-QIQBb4nLsHc.pt-BR.vtt 688 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/08. The First Rule-yh00phtQ-vE.ja.vtt 688 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3-m1LSU9SPZ2k.pt-BR.vtt 687 Bytes
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.es-ES.vtt 686 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-UX3W8TUKbJ0.pt-PT.vtt 685 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-tpsUlBbz5Jo.ja.vtt 684 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-mQtjczyAxQs.es-ES.vtt 684 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.bn.vtt 684 Bytes
  • Part 02-Module 01-Lesson 03_Probability/23. Even Roll-M3L0a5V4Nf0.ar.vtt 684 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-UX3W8TUKbJ0.pt.vtt 682 Bytes
  • Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes-YseJqD-1oUg.en.vtt 682 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-qDGSvvabN18.es-ES.vtt 682 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability-PNiaE1fy-7k.es-ES.vtt 682 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2-WYA5Zbf8HC4.es-ES.vtt 681 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-05upwXtARuo.pt-BR.vtt 680 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3-m1LSU9SPZ2k.es-ES.vtt 679 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-05upwXtARuo.es-ES.vtt 679 Bytes
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.th.vtt 677 Bytes
  • Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.zh-CN.vtt 676 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-OdVAt79eQak.zh-CN.vtt 675 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1--F2gJXWbN6s.es-ES.vtt 673 Bytes
  • Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes-YseJqD-1oUg.es-ES.vtt 671 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-nUxwwMNKIYo.ar.vtt 670 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-0gcTEExMH3k.zh-CN.vtt 670 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/01. Conditional Probability-Fda3U2HGNVM.zh-CN.vtt 670 Bytes
  • Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes-YseJqD-1oUg.ja.vtt 669 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/12. Obey the Rules-NZq4vDooURs.pt-BR.vtt 669 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-84mZj582H64.en.vtt 668 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-3XiisY0IPPU.en.vtt 668 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-PGG9agooCvw.th.vtt 667 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-96Cao3VKUok.zh-CN.vtt 667 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/03. Estimating Based on Conditions-RAIkZUZ2BeY.en.vtt 664 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1--F2gJXWbN6s.ja.vtt 664 Bytes
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.ar.vtt 663 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3-m1LSU9SPZ2k.en.vtt 663 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-UX3W8TUKbJ0.en.vtt 659 Bytes
  • Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-bNoS6LQEFrI.zh-CN.vtt 658 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3-m1LSU9SPZ2k.ja.vtt 657 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-udduksMWMB4.th.vtt 657 Bytes
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1-T4A5uyqesjo.it.vtt 656 Bytes
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1-T4A5uyqesjo.es-ES.vtt 656 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.en.vtt 656 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-QIQBb4nLsHc.en.vtt 655 Bytes
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.th.vtt 654 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians-QAqsIWVVX0Y.en.vtt 654 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/35. Finish daysBetweenDates--70lzVJyS8Y.pt-BR.vtt 654 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.ru.vtt 653 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-5Tbd3_a5Vug.th.vtt 653 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-mQtjczyAxQs.en.vtt 651 Bytes
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-HB8b7sZQFGs.ar.vtt 650 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-tiAFliSz9CY.zh-CN.vtt 648 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2-WYA5Zbf8HC4.en.vtt 646 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-6ZV_SjrnvJQ.ar.vtt 646 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/11. Breath First Search 4-WOANyG8rf0k.zh-CN.vtt 646 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/25. A Search 1-yMUqkCzFXts.en.vtt 645 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-Iky7rJXQU_4.it.vtt 644 Bytes
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-SK3cnmu8BYU.es-ES.vtt 643 Bytes
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1-lHuZpDkfwq8.pt-BR.vtt 642 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements-gDO4sF8gR9k.pt-PT.vtt 641 Bytes
  • Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes-YseJqD-1oUg.hr.vtt 640 Bytes
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-64EjAbqrtmo.ar.vtt 640 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements-gDO4sF8gR9k.pt.vtt 639 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/17. Density-4FbhjgHIu10.es-ES.vtt 639 Bytes
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.hr.vtt 637 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.ru.vtt 636 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-7WNYd36EDh4.en.vtt 636 Bytes
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.en.vtt 635 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-VLLG0rYC7To.th.vtt 634 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rules-CohZnkZMOxE.zh-CN.vtt 633 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-05upwXtARuo.en.vtt 633 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1--F2gJXWbN6s.it.vtt 631 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-0gcTEExMH3k.ja.vtt 631 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1--F2gJXWbN6s.en.vtt 630 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.zh-CN.vtt 630 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-oFpvcWEllBs.es-ES.vtt 629 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-btGdX0ZpkNU.zh-CN.vtt 629 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-Iky7rJXQU_4.ja.vtt 627 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-lmuonrQp_lM.ar.vtt 626 Bytes
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.it.vtt 625 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-1DVj00gpDOk.ar.vtt 624 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/11. Breath First Search 4-WOANyG8rf0k.en.vtt 624 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/24. Summary-w5fm_dJrImE.ja.vtt 623 Bytes
  • Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-bNoS6LQEFrI.ja.vtt 623 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-UX3W8TUKbJ0.zh-CN.vtt 623 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-UX3W8TUKbJ0.ja.vtt 623 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3-m1LSU9SPZ2k.zh-CN.vtt 622 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-Lwn6FJgyyYI.es-ES.vtt 622 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-mQtjczyAxQs.ja.vtt 621 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-oFpvcWEllBs.en.vtt 621 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-05upwXtARuo.ja.vtt 621 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-nUxwwMNKIYo.pt-BR.vtt 620 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.es-MX.vtt 619 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-84mZj582H64.ja.vtt 619 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2-WYA5Zbf8HC4.ja.vtt 618 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-Iky7rJXQU_4.es-ES.vtt 618 Bytes
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1-lHuZpDkfwq8.it.vtt 618 Bytes
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1-T4A5uyqesjo.en.vtt 617 Bytes
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.ja.vtt 617 Bytes
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.ru.vtt 617 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-QIQBb4nLsHc.zh-CN.vtt 616 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-Iky7rJXQU_4.es.vtt 616 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-dyqgMA5zRko.zh-CN.vtt 616 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-CMQBKuYjPBM.ar.vtt 615 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-TxNrRo3jNAM.ja.vtt 615 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-3XiisY0IPPU.zh-CN.vtt 614 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-TxNrRo3jNAM.es-ES.vtt 613 Bytes
  • Part 02-Module 01-Lesson 03_Probability/23. Even Roll-M3L0a5V4Nf0.es-ES.vtt 611 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.ja.vtt 610 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-aS0c5RrnPxU.es-ES.vtt 610 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-Iky7rJXQU_4.en.vtt 610 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-omC0zbJyzUY.zh-CN.vtt 609 Bytes
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.es-ES.vtt 608 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-TGdMG81hXc8.es-ES.vtt 608 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-btGdX0ZpkNU.ja.vtt 608 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-dSyPBL0jozI.zh-CN.vtt 606 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6--lC9xztr4zA.th.vtt 604 Bytes
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-SK3cnmu8BYU.en.vtt 604 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-84mZj582H64.pt-BR.vtt 604 Bytes
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-SK3cnmu8BYU.ja.vtt 603 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-Iky7rJXQU_4.pt-PT.vtt 603 Bytes
  • Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-pT0FXiH_5nI.th.vtt 603 Bytes
  • Part 03-Module 01-Lesson 05_Implement Matrix Class/06. Nd113 Story 3 V1-Wa1CFHf3k54.en.vtt 602 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/27. A Search 3-POXZl2jVy_4.en.vtt 601 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-Iky7rJXQU_4.pt.vtt 600 Bytes
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1-T4A5uyqesjo.hr.vtt 599 Bytes
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.pt-BR.vtt 598 Bytes
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-HB8b7sZQFGs.it.vtt 598 Bytes
  • Part 02-Module 01-Lesson 03_Probability/23. Even Roll-M3L0a5V4Nf0.pt-BR.vtt 597 Bytes
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1-T4A5uyqesjo.ja.vtt 597 Bytes
  • Part 02-Module 01-Lesson 03_Probability/23. Even Roll-M3L0a5V4Nf0.ja.vtt 596 Bytes
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.ja.vtt 594 Bytes
  • Part 04-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.en.vtt 593 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/17. Density-4FbhjgHIu10.en.vtt 593 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/15. Separated Gaussians 2-0FmTokjoRgo.ja.vtt 592 Bytes
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.ar.vtt 591 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability-Vohy3kpnBsk.es-ES.vtt 591 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-btGdX0ZpkNU.pt-BR.vtt 589 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-Iky7rJXQU_4.zh-CN.vtt 589 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.pl.vtt 588 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/25. A Search 1-yMUqkCzFXts.zh-CN.vtt 588 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-aS0c5RrnPxU.en.vtt 587 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-dSyPBL0jozI.ja.vtt 586 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-84mZj582H64.zh-CN.vtt 585 Bytes
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1-lHuZpDkfwq8.ja.vtt 584 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-t22oDruXhuo.ar.vtt 584 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-oFpvcWEllBs.zh-CN.vtt 583 Bytes
  • Part 04-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.en.vtt 583 Bytes
  • Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes-YseJqD-1oUg.zh-CN.vtt 582 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.es-ES.vtt 582 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-fAaE5K9OZJc.th.vtt 579 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.es.vtt 579 Bytes
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.th.vtt 578 Bytes
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1-T4A5uyqesjo.zh-CN.vtt 577 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/03. Estimating Based on Conditions-RAIkZUZ2BeY.zh-CN.vtt 577 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-F8AHaaJVmkw.es-ES.vtt 575 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians-QAqsIWVVX0Y.zh-CN.vtt 575 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-TxNrRo3jNAM.en.vtt 575 Bytes
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-HB8b7sZQFGs.hr.vtt 575 Bytes
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1-lHuZpDkfwq8.es-ES.vtt 575 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/27. A Search 3 Solution-Njd5k_I6Sqo.en.vtt 573 Bytes
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-SK3cnmu8BYU.zh-CN.vtt 573 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-F8AHaaJVmkw.es.vtt 573 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-7WNYd36EDh4.zh-CN.vtt 573 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-05upwXtARuo.zh-CN.vtt 572 Bytes
  • Part 04-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.zh-CN.vtt 572 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-mQtjczyAxQs.zh-CN.vtt 572 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-oFpvcWEllBs.ja.vtt 571 Bytes
  • Part 02-Module 01-Lesson 03_Probability/23. Even Roll-M3L0a5V4Nf0.it.vtt 571 Bytes
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.pt-BR.vtt 570 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.pt-PT.vtt 570 Bytes
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.en.vtt 569 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.pt.vtt 567 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1--F2gJXWbN6s.zh-CN.vtt 567 Bytes
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-HB8b7sZQFGs.es-ES.vtt 566 Bytes
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.hr.vtt 565 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-kieducUmiD0.zh-CN.vtt 565 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability-Vohy3kpnBsk.en.vtt 563 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-5Tbd3_a5Vug.ar.vtt 562 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-HmcurWkA0fQ.ja.vtt 562 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-Lwn6FJgyyYI.en.vtt 561 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/08. The First Rule-yh00phtQ-vE.en.vtt 561 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-1DVj00gpDOk.ja.vtt 560 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1--TBAfU1cjRU.es-ES.vtt 560 Bytes
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-HB8b7sZQFGs.zh-CN.vtt 558 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-mFfbts1lAEo.ar.vtt 558 Bytes
  • Part 02-Module 01-Lesson 03_Probability/23. Even Roll-M3L0a5V4Nf0.en.vtt 558 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1--TBAfU1cjRU.ja.vtt 557 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-2BfisMbu86o.es-ES.vtt 556 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/15. Separated Gaussians 2-0FmTokjoRgo.es-ES.vtt 554 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-hXyXlk0gYzk.th.vtt 554 Bytes
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1-lHuZpDkfwq8.en.vtt 553 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-dyqgMA5zRko.ja.vtt 553 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2-WYA5Zbf8HC4.zh-CN.vtt 553 Bytes
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.it.vtt 552 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.it.vtt 551 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/27. A Search 3-POXZl2jVy_4.zh-CN.vtt 550 Bytes
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-HB8b7sZQFGs.en.vtt 549 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-TGdMG81hXc8.en.vtt 549 Bytes
  • Part 02-Module 01-Lesson 12_Histogram Filter in Python/01. Project Overview-uaWZNKGTtgM.en.vtt 549 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-jPspIs-fNxg.th.vtt 548 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-HmcurWkA0fQ.es-ES.vtt 548 Bytes
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-64EjAbqrtmo.pt-BR.vtt 547 Bytes
  • Part 01-Module 01-Lesson 01_Introduction/10. Intro to Self-Driving Cars Readiness Introduction-sWKwL3NBa_E.en.vtt 547 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/01. Probability Distribution-Srt0yZSCrbY.en.vtt 547 Bytes
  • Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-3NSPqjp6pFY.ar.vtt 547 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/08. The First Rule-yh00phtQ-vE.pt-BR.vtt 545 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/27. A Search 3 Solution-Njd5k_I6Sqo.zh-CN.vtt 545 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-PGG9agooCvw.ar.vtt 544 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-2BfisMbu86o.en.vtt 543 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-kieducUmiD0.en.vtt 543 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-lmuonrQp_lM.ja.vtt 541 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-pL8Bf6tck_A.th.vtt 541 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.en.vtt 541 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-2BfisMbu86o.ja.vtt 540 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-HmcurWkA0fQ.en.vtt 539 Bytes
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1-lHuZpDkfwq8.hr.vtt 539 Bytes
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/19. Outro-K1Pj-cr1nFc.en.vtt 538 Bytes
  • Part 02-Module 01-Lesson 03_Probability/23. Even Roll-M3L0a5V4Nf0.zh-CN.vtt 538 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.ru.vtt 537 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1--TBAfU1cjRU.en.vtt 537 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-aS0c5RrnPxU.zh-CN.vtt 537 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/17. Density-4FbhjgHIu10.zh-CN.vtt 536 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-kieducUmiD0.ja.vtt 536 Bytes
  • Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.zh-CN.vtt 536 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability-Vohy3kpnBsk.ja.vtt 536 Bytes
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.es-ES.vtt 535 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-Lwn6FJgyyYI.ja.vtt 534 Bytes
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.ja.vtt 532 Bytes
  • Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.zh-CN.vtt 531 Bytes
  • Part 03-Module 01-Lesson 05_Implement Matrix Class/06. Nd113 Story 3 V1-Wa1CFHf3k54.zh-CN.vtt 531 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-lmuonrQp_lM.es-ES.vtt 531 Bytes
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.pt-BR.vtt 530 Bytes
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.hr.vtt 530 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-TGdMG81hXc8.ja.vtt 528 Bytes
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-HB8b7sZQFGs.ja.vtt 527 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-TGdMG81hXc8.zh-CN.vtt 526 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-nUxwwMNKIYo.ja.vtt 525 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-41HCYR-NW-w.ar.vtt 524 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-lmuonrQp_lM.en.vtt 524 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/08. The First Rule-yh00phtQ-vE.zh-CN.vtt 523 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-CMQBKuYjPBM.pt-BR.vtt 523 Bytes
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/05. Nd113 C6 L3 055 L Moving At 53 Degrees Solution V2-Y_3M6eeYbd8.en.vtt 522 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.es-ES.vtt 522 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.it.vtt 522 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1--TBAfU1cjRU.zh-CN.vtt 521 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-TxNrRo3jNAM.zh-CN.vtt 520 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.es.vtt 519 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-udduksMWMB4.ar.vtt 518 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.bn.vtt 518 Bytes
  • Part 02-Module 01-Lesson 03_Probability/23. Even Roll-M3L0a5V4Nf0.hr.vtt 517 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/15. Separated Gaussians 2-0FmTokjoRgo.en.vtt 517 Bytes
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.zh-CN.vtt 516 Bytes
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-HB8b7sZQFGs.pt-BR.vtt 516 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.ja.vtt 516 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-7k5oAaZamCA.ar.vtt 516 Bytes
  • Part 04-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.zh-CN.vtt 515 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-aS0c5RrnPxU.ja.vtt 514 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.zh-CN.vtt 514 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.zh-CN.vtt 513 Bytes
  • Part 02-Module 01-Lesson 12_Histogram Filter in Python/01. Project Overview-uaWZNKGTtgM.zh-CN.vtt 511 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability-Vohy3kpnBsk.zh-CN.vtt 511 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-GlmS_jox08s.ar.vtt 509 Bytes
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-64EjAbqrtmo.en.vtt 508 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-F8AHaaJVmkw.pt-PT.vtt 506 Bytes
  • Part 06-Module 01-Lesson 04_Implement Route Planner/04. Nd113 Navigating Last Video V1-yJfKK3Mg-BE.zh-CN.vtt 506 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.es-MX.vtt 506 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-3XiisY0IPPU.pt-BR.vtt 505 Bytes
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-64EjAbqrtmo.it.vtt 504 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-F8AHaaJVmkw.pt.vtt 503 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-F8AHaaJVmkw.en.vtt 503 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-F8AHaaJVmkw.it.vtt 501 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-41HCYR-NW-w.pt-BR.vtt 501 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/01. Probability Distribution-Srt0yZSCrbY.zh-CN.vtt 500 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.bn.vtt 500 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-F8AHaaJVmkw.ja.vtt 500 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.pt-PT.vtt 499 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-mFfbts1lAEo.pt-BR.vtt 498 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.ja.vtt 498 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-lmuonrQp_lM.pt-BR.vtt 497 Bytes
  • Part 01-Module 01-Lesson 01_Introduction/10. Intro to Self-Driving Cars Readiness Introduction-sWKwL3NBa_E.zh-CN.vtt 497 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.pt.vtt 496 Bytes
  • Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-3NSPqjp6pFY.pt-BR.vtt 496 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-5Tbd3_a5Vug.pt-BR.vtt 495 Bytes
  • Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.en.vtt 495 Bytes
  • Part 02-Module 01-Lesson 03_Probability/19. One Head 1-lHuZpDkfwq8.zh-CN.vtt 495 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.es-MX.vtt 493 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-lmuonrQp_lM.zh-CN.vtt 492 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-VLLG0rYC7To.ar.vtt 491 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-F8AHaaJVmkw.zh-CN.vtt 487 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.en.vtt 486 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.pt-PT.vtt 484 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-V_Gqm42WodI.ar.vtt 481 Bytes
  • Part 06-Module 01-Lesson 04_Implement Route Planner/04. Nd113 Navigating Last Video V1-yJfKK3Mg-BE.en.vtt 481 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.pt.vtt 481 Bytes
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-64EjAbqrtmo.es-ES.vtt 480 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3--6l4_oprDOk.th.vtt 480 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-t22oDruXhuo.es-ES.vtt 478 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.it.vtt 476 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.pt-PT.vtt 475 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-1DVj00gpDOk.en.vtt 475 Bytes
  • Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-3NSPqjp6pFY.es-ES.vtt 473 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-HmcurWkA0fQ.zh-CN.vtt 473 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-t22oDruXhuo.pt-BR.vtt 473 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6--lC9xztr4zA.ar.vtt 473 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-6ZV_SjrnvJQ.zh-CN.vtt 473 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-gZbPZLFKS68.ja.vtt 472 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-kieducUmiD0.pt-BR.vtt 472 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.pt.vtt 472 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-6ZV_SjrnvJQ.ja.vtt 472 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-nUxwwMNKIYo.es-ES.vtt 471 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-CMQBKuYjPBM.es-ES.vtt 471 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-nUxwwMNKIYo.en.vtt 470 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.es-ES.vtt 470 Bytes
  • Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-3NSPqjp6pFY.hr.vtt 469 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.it.vtt 469 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.es.vtt 467 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-mFfbts1lAEo.es-ES.vtt 466 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-6ZV_SjrnvJQ.en.vtt 464 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-FnhHQht4vDo.es-ES.vtt 463 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-2BfisMbu86o.zh-CN.vtt 463 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.ja.vtt 461 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-FnhHQht4vDo.es.vtt 461 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-9SbUxcyDTaQ.ar.vtt 459 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.en.vtt 457 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-CMQBKuYjPBM.it.vtt 456 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.es-ES.vtt 456 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-6ZV_SjrnvJQ.pt-BR.vtt 456 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-hXyXlk0gYzk.ar.vtt 456 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-5Tbd3_a5Vug.es-ES.vtt 455 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-1DVj00gpDOk.zh-CN.vtt 455 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-CMQBKuYjPBM.en.vtt 455 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-Lwn6FJgyyYI.zh-CN.vtt 455 Bytes
  • README.txt 454 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.es.vtt 453 Bytes
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-64EjAbqrtmo.hr.vtt 453 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-5Tbd3_a5Vug.it.vtt 452 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/15. Separated Gaussians 2-0FmTokjoRgo.zh-CN.vtt 452 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-PGG9agooCvw.es-ES.vtt 451 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.ja.vtt 448 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.en.vtt 448 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-U2tkinJKn28.es-ES.vtt 447 Bytes
  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/19. Outro-K1Pj-cr1nFc.zh-CN.vtt 447 Bytes
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-P4uljJ_OP6I.th.vtt 447 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-FnhHQht4vDo.pt-PT.vtt 446 Bytes
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.ar.vtt 445 Bytes
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.it.vtt 444 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-VLLG0rYC7To.pt-BR.vtt 444 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-mFfbts1lAEo.ja.vtt 444 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-FnhHQht4vDo.pt.vtt 443 Bytes
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.pt-BR.vtt 442 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-cdFrLeXIkZU.th.vtt 441 Bytes
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/05. Nd113 C6 L3 055 L Moving At 53 Degrees Solution V2-Y_3M6eeYbd8.zh-CN.vtt 440 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-V_Gqm42WodI.pt-BR.vtt 440 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-q9698qIrPT0.es-ES.vtt 440 Bytes
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.ar.vtt 437 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-ys9w-NNKCcU.ar.vtt 436 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-FnhHQht4vDo.it.vtt 436 Bytes
  • Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-3NSPqjp6pFY.it.vtt 435 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-7k5oAaZamCA.it.vtt 433 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-GlmS_jox08s.pt-BR.vtt 433 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6--lC9xztr4zA.en.vtt 433 Bytes
  • Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-3NSPqjp6pFY.en.vtt 432 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-nUxwwMNKIYo.zh-CN.vtt 431 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-FnhHQht4vDo.en.vtt 430 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-q9698qIrPT0.en.vtt 429 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-t22oDruXhuo.en.vtt 428 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-t22oDruXhuo.ja.vtt 428 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-mFfbts1lAEo.en.vtt 427 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-VDQK8gnETqw.en.vtt 426 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6--lC9xztr4zA.es-ES.vtt 426 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/17. Density-4FbhjgHIu10.ja.vtt 425 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-7k5oAaZamCA.es-ES.vtt 425 Bytes
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.en.vtt 425 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-5Tbd3_a5Vug.en.vtt 424 Bytes
  • Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-rRPwknIDuI0.th.vtt 423 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-mFfbts1lAEo.it.vtt 422 Bytes
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-64EjAbqrtmo.zh-CN.vtt 422 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-FnhHQht4vDo.ja.vtt 421 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-ub9oMx2x-5c.es-ES.vtt 421 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-gZbPZLFKS68.es-ES.vtt 420 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-CMQBKuYjPBM.ja.vtt 420 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-PGG9agooCvw.zh-CN.vtt 420 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-GlmS_jox08s.ja.vtt 419 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-9SbUxcyDTaQ.pt-BR.vtt 418 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-VDQK8gnETqw.ja.vtt 417 Bytes
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.es-ES.vtt 417 Bytes
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-64EjAbqrtmo.ja.vtt 417 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.es-ES.vtt 416 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-7k5oAaZamCA.en.vtt 416 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.zh-CN.vtt 416 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-ub9oMx2x-5c.ja.vtt 415 Bytes
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.ja.vtt 415 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-SYnYIjLpbjE.th.vtt 415 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-VDQK8gnETqw.es-ES.vtt 414 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6--lC9xztr4zA.it.vtt 414 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-U2tkinJKn28.en.vtt 414 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.zh-CN.vtt 414 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-PGG9agooCvw.en.vtt 414 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.es.vtt 413 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-41HCYR-NW-w.es-ES.vtt 412 Bytes
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.ar.vtt 411 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.bn.vtt 411 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Rf6WfB_1EJQ.pt-BR.vtt 410 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-PGG9agooCvw.pt-BR.vtt 410 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-VLLG0rYC7To.it.vtt 409 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-CMQBKuYjPBM.zh-CN.vtt 408 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-2cD8T65E-jM.es-ES.vtt 408 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-ub9oMx2x-5c.en.vtt 407 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.ru.vtt 406 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-VLLG0rYC7To.es-ES.vtt 406 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-FnhHQht4vDo.zh-CN.vtt 406 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-pL8Bf6tck_A.ar.vtt 405 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-fAaE5K9OZJc.ar.vtt 404 Bytes
  • Part 04-Module 01-Lesson 05_Python and C++ Speed/01. Introduction-JklGKdn3_go.zh-CN.vtt 402 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-gZbPZLFKS68.zh-CN.vtt 400 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-gZbPZLFKS68.en.vtt 400 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-6c0XvswnGm0.bn.vtt 400 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-jPspIs-fNxg.ar.vtt 399 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-FQM7i07EqGo.th.vtt 398 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.ja.vtt 398 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-7k5oAaZamCA.pt-BR.vtt 397 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-2cD8T65E-jM.en.vtt 397 Bytes
  • Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-3NSPqjp6pFY.ja.vtt 397 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-udduksMWMB4.pt-BR.vtt 396 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-PGG9agooCvw.ja.vtt 395 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3--6l4_oprDOk.ar.vtt 395 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.es-ES.vtt 395 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-gZbPZLFKS68.it.vtt 394 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-ys9w-NNKCcU.pt-BR.vtt 393 Bytes
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.es-ES.vtt 393 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-hyAQ28MYmc4.th.vtt 393 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.es.vtt 392 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-fAaE5K9OZJc.pt-BR.vtt 391 Bytes
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/09. Nd113 C6 L3 095 L Trigonometric Ratios Solution V2-c5iuVhWCOzc.en.vtt 391 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-V_Gqm42WodI.es-ES.vtt 390 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-7k5oAaZamCA.ja.vtt 390 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-GqWszyHTYas.pt-PT.vtt 387 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-VDQK8gnETqw.zh-CN.vtt 385 Bytes
  • Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-1DVj00gpDOk.pt-BR.vtt 384 Bytes
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.hr.vtt 384 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-GqWszyHTYas.pt.vtt 384 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-gZbPZLFKS68.pt-PT.vtt 384 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.pt-PT.vtt 383 Bytes
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.hr.vtt 383 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-q9698qIrPT0.zh-CN.vtt 383 Bytes
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.it.vtt 382 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/09. Measurement and Motion 2-dwVwSZuJDBQ.es-ES.vtt 381 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-gZbPZLFKS68.pt.vtt 381 Bytes
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.zh-CN.vtt 380 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-7k5oAaZamCA.zh-CN.vtt 380 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.pt.vtt 380 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-q9698qIrPT0.ja.vtt 379 Bytes
  • Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-3NSPqjp6pFY.zh-CN.vtt 379 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-sKiumVTdpgY.es-ES.vtt 378 Bytes
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.pt-BR.vtt 377 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-U2tkinJKn28.zh-CN.vtt 377 Bytes
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-JNDsm_Gzxi0.es-ES.vtt 376 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6--lC9xztr4zA.zh-CN.vtt 376 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/16. Uniform Cost Search 3-_LtVDVBskhk.zh-CN.vtt 375 Bytes
  • Part 04-Module 01-Lesson 05_Python and C++ Speed/01. Introduction-JklGKdn3_go.en.vtt 375 Bytes
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.it.vtt 375 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-5Tbd3_a5Vug.ja.vtt 374 Bytes
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-JNDsm_Gzxi0.en.vtt 373 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-VLLG0rYC7To.en.vtt 373 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-VLLG0rYC7To.ja.vtt 373 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-9SbUxcyDTaQ.it.vtt 372 Bytes
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.ja.vtt 370 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-41HCYR-NW-w.en.vtt 370 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-t22oDruXhuo.zh-CN.vtt 369 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-5Tbd3_a5Vug.zh-CN.vtt 369 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-GqWszyHTYas.zh-CN.vtt 367 Bytes
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.es-ES.vtt 366 Bytes
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-JNDsm_Gzxi0.ja.vtt 365 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2--wT7h9Gdm_8.ja.vtt 365 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-ub9oMx2x-5c.zh-CN.vtt 363 Bytes
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-cUKlYjQEQGY.es-ES.vtt 362 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-GqWszyHTYas.es-ES.vtt 362 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-GqWszyHTYas.it.vtt 361 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.en.vtt 360 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-udduksMWMB4.es-ES.vtt 360 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-pL8Bf6tck_A.pt-BR.vtt 360 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-udduksMWMB4.it.vtt 359 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-GqWszyHTYas.es.vtt 359 Bytes
  • Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-uimwo-puQWY.th.vtt 359 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-ys9w-NNKCcU.es-ES.vtt 358 Bytes
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.ja.vtt 357 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/16. Uniform Cost Search 3-_LtVDVBskhk.en.vtt 356 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-GqWszyHTYas.ja.vtt 356 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-GlmS_jox08s.zh-CN.vtt 355 Bytes
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-HohMRlmHoMQ.th.vtt 354 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-udduksMWMB4.en.vtt 354 Bytes
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.pt-BR.vtt 354 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-V_Gqm42WodI.en.vtt 353 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-9SbUxcyDTaQ.ja.vtt 353 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2--wT7h9Gdm_8.it.vtt 352 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-68Kao9dkIKA.es-ES.vtt 351 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-VLLG0rYC7To.zh-CN.vtt 351 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-GlmS_jox08s.en.vtt 351 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-sKiumVTdpgY.pt-PT.vtt 351 Bytes
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-JNDsm_Gzxi0.zh-CN.vtt 351 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-jPspIs-fNxg.es-ES.vtt 350 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-41HCYR-NW-w.ja.vtt 350 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-ys9w-NNKCcU.en.vtt 349 Bytes
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.en.vtt 349 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-2cD8T65E-jM.zh-CN.vtt 349 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-hXyXlk0gYzk.es-ES.vtt 348 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2--wT7h9Gdm_8.es-ES.vtt 348 Bytes
  • Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.zh-CN.vtt 348 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-sKiumVTdpgY.pt.vtt 348 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-GqWszyHTYas.en.vtt 348 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-9SbUxcyDTaQ.es-ES.vtt 348 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-fAaE5K9OZJc.ja.vtt 345 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-sKiumVTdpgY.it.vtt 345 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2--wT7h9Gdm_8.zh-CN.vtt 344 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-hXyXlk0gYzk.en.vtt 343 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/09. Measurement and Motion 2-dwVwSZuJDBQ.zh-CN.vtt 343 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.zh-CN.vtt 343 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-mGWGhgZG_jM.ja.vtt 343 Bytes
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.th.vtt 342 Bytes
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.en.vtt 342 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-ys9w-NNKCcU.it.vtt 341 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2--wT7h9Gdm_8.pt-PT.vtt 341 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-cdFrLeXIkZU.ar.vtt 341 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-mFfbts1lAEo.zh-CN.vtt 341 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-sKiumVTdpgY.ja.vtt 340 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function-AMFig-sYGfM.ja.vtt 340 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-V96RcbbVP7Q.th.vtt 339 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6--lC9xztr4zA.pt-BR.vtt 339 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-GlmS_jox08s.it.vtt 338 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2--wT7h9Gdm_8.pt.vtt 338 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-GlmS_jox08s.es-ES.vtt 337 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-sKiumVTdpgY.en.vtt 337 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-nYt9b_pNvEE.es-ES.vtt 336 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Rf6WfB_1EJQ.ar.vtt 336 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-9SbUxcyDTaQ.en.vtt 336 Bytes
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.pt-BR.vtt 335 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.it.vtt 335 Bytes
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-cUKlYjQEQGY.en.vtt 334 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/09. Measurement and Motion 2-dwVwSZuJDBQ.en.vtt 333 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-TF6AWXSlOcY.pt-PT.vtt 333 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-fAaE5K9OZJc.es-ES.vtt 333 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability-W9TOvnLH4fg.es-ES.vtt 333 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-pL8Bf6tck_A.es-ES.vtt 332 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-V_Gqm42WodI.ja.vtt 332 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-hXyXlk0gYzk.zh-CN.vtt 331 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere-Ua8DCPx8lhk.ja.vtt 331 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-udduksMWMB4.ja.vtt 331 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-TF6AWXSlOcY.pt.vtt 330 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-hXyXlk0gYzk.pt-BR.vtt 329 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3--6l4_oprDOk.es-ES.vtt 329 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-EyE5vOSxPdI.es-ES.vtt 329 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3--6l4_oprDOk.ja.vtt 327 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-hXyXlk0gYzk.ja.vtt 326 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-jPspIs-fNxg.en.vtt 325 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-FQM7i07EqGo.ar.vtt 325 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-fAaE5K9OZJc.it.vtt 324 Bytes
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.zh-CN.vtt 323 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3--6l4_oprDOk.en.vtt 322 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability-W9TOvnLH4fg.en.vtt 322 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-nYt9b_pNvEE.ja.vtt 321 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/09. Breath First Search 2-1VykygxreWg.en.vtt 321 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-V_Gqm42WodI.zh-CN.vtt 320 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-68Kao9dkIKA.it.vtt 320 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-TF6AWXSlOcY.ja.vtt 319 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-2cD8T65E-jM.ja.vtt 319 Bytes
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.es-ES.vtt 318 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3--6l4_oprDOk.pt-BR.vtt 317 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability-W9TOvnLH4fg.ja.vtt 316 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-oDPbdGXH5nE.es-ES.vtt 316 Bytes
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.it.vtt 315 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-ys9w-NNKCcU.ja.vtt 315 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian-sBsju-6nQWI.zh-CN.vtt 315 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-hyAQ28MYmc4.ar.vtt 315 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-jPspIs-fNxg.it.vtt 314 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function-AMFig-sYGfM.es-ES.vtt 314 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.pt-PT.vtt 314 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-oDPbdGXH5nE.ja.vtt 314 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2--wT7h9Gdm_8.en.vtt 313 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-fAaE5K9OZJc.en.vtt 313 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/26. A Search 2-gYKBDz2kQJ8.en.vtt 313 Bytes
  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.hr.vtt 312 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.pt.vtt 311 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-pL8Bf6tck_A.en.vtt 310 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-mGWGhgZG_jM.es-ES.vtt 310 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-oqlgQa1IdcY.es-ES.vtt 310 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-TF6AWXSlOcY.es-ES.vtt 309 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-sKiumVTdpgY.zh-CN.vtt 309 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-pL8Bf6tck_A.it.vtt 308 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-U2tkinJKn28.ja.vtt 308 Bytes
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.en.vtt 307 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.es-ES.vtt 306 Bytes
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.hr.vtt 305 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-pL8Bf6tck_A.ja.vtt 305 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.th.vtt 305 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-jPspIs-fNxg.zh-CN.vtt 304 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-oqlgQa1IdcY.ja.vtt 304 Bytes
  • Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-rRPwknIDuI0.ar.vtt 303 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-9SbUxcyDTaQ.zh-CN.vtt 303 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.es.vtt 303 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-udduksMWMB4.zh-CN.vtt 303 Bytes
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-P4uljJ_OP6I.ar.vtt 302 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-4-0nBfsD4jo.es-ES.vtt 301 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Rf6WfB_1EJQ.es-ES.vtt 301 Bytes
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-cUKlYjQEQGY.ja.vtt 301 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-mGWGhgZG_jM.en.vtt 301 Bytes
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.ja.vtt 301 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-a61GPGk-Qy4.ja.vtt 300 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-oDPbdGXH5nE.en.vtt 299 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-a61GPGk-Qy4.th.vtt 299 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian-sBsju-6nQWI.en.vtt 298 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-41HCYR-NW-w.zh-CN.vtt 298 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-oDPbdGXH5nE.it.vtt 298 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-TF6AWXSlOcY.it.vtt 298 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function-AMFig-sYGfM.en.vtt 297 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-fAaE5K9OZJc.zh-CN.vtt 297 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/25. A Search 1 Solution-pfSya9ScozE.en.vtt 297 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-mGWGhgZG_jM.pt-PT.vtt 296 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-FQM7i07EqGo.ja.vtt 296 Bytes
  • Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/09. Nd113 C6 L3 095 L Trigonometric Ratios Solution V2-c5iuVhWCOzc.zh-CN.vtt 296 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-EyE5vOSxPdI.ja.vtt 296 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-mGWGhgZG_jM.it.vtt 296 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-oqlgQa1IdcY.it.vtt 295 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-mGWGhgZG_jM.zh-CN.vtt 294 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians-fGcozDEwnwY.es-ES.vtt 294 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-jPspIs-fNxg.pt-BR.vtt 293 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-mGWGhgZG_jM.pt.vtt 293 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-4-0nBfsD4jo.en.vtt 292 Bytes
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-P4uljJ_OP6I.it.vtt 291 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/09. Breath First Search 2-1VykygxreWg.zh-CN.vtt 291 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-nYt9b_pNvEE.it.vtt 290 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability-W9TOvnLH4fg.zh-CN.vtt 290 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-oDPbdGXH5nE.pt-PT.vtt 290 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-oqlgQa1IdcY.en.vtt 290 Bytes
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-P4uljJ_OP6I.hr.vtt 289 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Rf6WfB_1EJQ.it.vtt 289 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-EyE5vOSxPdI.en.vtt 289 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-nYt9b_pNvEE.en.vtt 288 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-oqlgQa1IdcY.pt-PT.vtt 287 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/26. A Search 2-gYKBDz2kQJ8.zh-CN.vtt 287 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-oDPbdGXH5nE.pt.vtt 287 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-nYt9b_pNvEE.zh-CN.vtt 286 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-SYnYIjLpbjE.ar.vtt 286 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-SYnYIjLpbjE.pt-BR.vtt 285 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-nYt9b_pNvEE.pt-PT.vtt 284 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.it.vtt 284 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-oqlgQa1IdcY.pt.vtt 284 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-V96RcbbVP7Q.ar.vtt 283 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3--6l4_oprDOk.zh-CN.vtt 282 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-TF6AWXSlOcY.en.vtt 282 Bytes
  • Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-cUKlYjQEQGY.zh-CN.vtt 281 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/09. Measurement and Motion 2-dwVwSZuJDBQ.ja.vtt 281 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-nYt9b_pNvEE.pt.vtt 281 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function-AMFig-sYGfM.zh-CN.vtt 280 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.ja.vtt 280 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.en.vtt 280 Bytes
  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.zh-CN.vtt 280 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-RJFD5ok1ZIc.es-ES.vtt 279 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere-Ua8DCPx8lhk.zh-CN.vtt 279 Bytes
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-HohMRlmHoMQ.ar.vtt 279 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Rf6WfB_1EJQ.en.vtt 279 Bytes
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.ar.vtt 278 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-pL8Bf6tck_A.zh-CN.vtt 277 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-oDPbdGXH5nE.zh-CN.vtt 277 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-TF6AWXSlOcY.zh-CN.vtt 277 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion-xNPEjY4dsds.es-ES.vtt 275 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere-Ua8DCPx8lhk.es-ES.vtt 275 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-ys9w-NNKCcU.zh-CN.vtt 275 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/25. A Search 1 Solution-pfSya9ScozE.zh-CN.vtt 274 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-FQM7i07EqGo.es-ES.vtt 272 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians-fGcozDEwnwY.ja.vtt 271 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.bn.vtt 271 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians-fGcozDEwnwY.en.vtt 270 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-cdFrLeXIkZU.pt-BR.vtt 269 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability-zHAl87ITDik.ja.vtt 268 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian-sBsju-6nQWI.es-ES.vtt 268 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-FQM7i07EqGo.en.vtt 268 Bytes
  • Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.th.vtt 267 Bytes
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-HohMRlmHoMQ.pt-BR.vtt 265 Bytes
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-sNvQeSikRFY.ar.vtt 265 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6--lC9xztr4zA.ja.vtt 264 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-68Kao9dkIKA.en.vtt 263 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Rf6WfB_1EJQ.ja.vtt 262 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-FQM7i07EqGo.pt-BR.vtt 262 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.it.vtt 262 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-68Kao9dkIKA.ja.vtt 262 Bytes
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-HohMRlmHoMQ.ja.vtt 261 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability-zHAl87ITDik.en.vtt 261 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-RJFD5ok1ZIc.en.vtt 261 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability-zHAl87ITDik.es-ES.vtt 261 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-jPspIs-fNxg.ja.vtt 260 Bytes
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-P4uljJ_OP6I.en.vtt 260 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-cdFrLeXIkZU.es-ES.vtt 260 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere-Ua8DCPx8lhk.en.vtt 259 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-SYnYIjLpbjE.es-ES.vtt 258 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.bn.vtt 257 Bytes
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-P4uljJ_OP6I.es-ES.vtt 257 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-oqlgQa1IdcY.zh-CN.vtt 255 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-68Kao9dkIKA.pt-PT.vtt 255 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-RJFD5ok1ZIc.zh-CN.vtt 255 Bytes
  • Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-uimwo-puQWY.ar.vtt 254 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-V96RcbbVP7Q.pt-BR.vtt 253 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-EyE5vOSxPdI.zh-CN.vtt 253 Bytes
  • Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-rRPwknIDuI0.es-ES.vtt 252 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-68Kao9dkIKA.pt.vtt 252 Bytes
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-sNvQeSikRFY.th.vtt 252 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-d_fbDqAGVdE.ar.vtt 252 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-68Kao9dkIKA.zh-CN.vtt 250 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-hyAQ28MYmc4.pt-BR.vtt 249 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-BldUOLB2U1Y.pt-PT.vtt 249 Bytes
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-P4uljJ_OP6I.pt-BR.vtt 249 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-BldUOLB2U1Y.es-ES.vtt 248 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-hyAQ28MYmc4.en.vtt 248 Bytes
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-P4uljJ_OP6I.zh-CN.vtt 248 Bytes
  • Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-rRPwknIDuI0.it.vtt 248 Bytes
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-P4uljJ_OP6I.ja.vtt 247 Bytes
  • Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-rRPwknIDuI0.en.vtt 247 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-4-0nBfsD4jo.ja.vtt 246 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-BldUOLB2U1Y.pt.vtt 246 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability-zHAl87ITDik.zh-CN.vtt 245 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-SYnYIjLpbjE.en.vtt 245 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.zh-CN.vtt 245 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-SYnYIjLpbjE.zh-CN.vtt 244 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-goEMc0w58xM.th.vtt 244 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/24. A Search Solution-_cPSOQ-sC2k.zh-CN.vtt 243 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.pt-PT.vtt 243 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-hyAQ28MYmc4.es-ES.vtt 243 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion-xNPEjY4dsds.en.vtt 243 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian-sBsju-6nQWI.ja.vtt 242 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-cdFrLeXIkZU.ja.vtt 241 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.es-MX.vtt 241 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-cdFrLeXIkZU.en.vtt 241 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-FQM7i07EqGo.zh-CN.vtt 241 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.th.vtt 240 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-SYnYIjLpbjE.it.vtt 240 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-Se-ddM2Wdac.th.vtt 240 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.pt.vtt 240 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.zh-CN.vtt 238 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-cw_zgQbAWNU.ar.vtt 238 Bytes
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-HohMRlmHoMQ.hr.vtt 238 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-SYnYIjLpbjE.ja.vtt 237 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion-xNPEjY4dsds.zh-CN.vtt 237 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians-fGcozDEwnwY.zh-CN.vtt 236 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-BldUOLB2U1Y.en.vtt 236 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/26. A Search 2 Solution-kvDVL4G_njI.en.vtt 236 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.ru.vtt 235 Bytes
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-HohMRlmHoMQ.es-ES.vtt 234 Bytes
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-HohMRlmHoMQ.it.vtt 234 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/24. A Search Solution-_cPSOQ-sC2k.en.vtt 234 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-V96RcbbVP7Q.es-ES.vtt 234 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/09. Measurement and Motion 2-1X8Tu6TmKhY.es-ES.vtt 232 Bytes
  • Part 06-Module 01-Lesson 03_The Search Problem/26. A Search 2 Solution-kvDVL4G_njI.zh-CN.vtt 232 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-V96RcbbVP7Q.it.vtt 231 Bytes
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-HohMRlmHoMQ.en.vtt 231 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-6c0XvswnGm0.es-ES.vtt 231 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-RJFD5ok1ZIc.ja.vtt 230 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-4-0nBfsD4jo.zh-CN.vtt 229 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-6c0XvswnGm0.zh-CN.vtt 229 Bytes
  • Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-HohMRlmHoMQ.zh-CN.vtt 228 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-6c0XvswnGm0.es.vtt 228 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-6c0XvswnGm0.pt-PT.vtt 228 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-cw_zgQbAWNU.th.vtt 228 Bytes
  • Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-rRPwknIDuI0.zh-CN.vtt 228 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.en.vtt 226 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-hyAQ28MYmc4.zh-CN.vtt 226 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-6c0XvswnGm0.pt.vtt 225 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.es-ES.vtt 223 Bytes
  • Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.ar.vtt 222 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-6c0XvswnGm0.en.vtt 222 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-a61GPGk-Qy4.ar.vtt 222 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.ja.vtt 222 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-d_fbDqAGVdE.es-ES.vtt 221 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.es.vtt 220 Bytes
  • Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-uimwo-puQWY.pt-BR.vtt 219 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-BldUOLB2U1Y.ja.vtt 219 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-V96RcbbVP7Q.en.vtt 219 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-PE-k3PGXeLY.ja.vtt 219 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-BldUOLB2U1Y.zh-CN.vtt 218 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-x2o1g3J-1nw.es-ES.vtt 218 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-BldUOLB2U1Y.it.vtt 218 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-a61GPGk-Qy4.zh-CN.vtt 218 Bytes
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-sNvQeSikRFY.en.vtt 217 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-a61GPGk-Qy4.es-ES.vtt 217 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-7ZLe_JP5wRY.pt-BR.vtt 216 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-x2o1g3J-1nw.es-MX.vtt 216 Bytes
  • Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-rRPwknIDuI0.ja.vtt 216 Bytes
  • Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-rRPwknIDuI0.hr.vtt 216 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-x2o1g3J-1nw.it.vtt 215 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-cdFrLeXIkZU.zh-CN.vtt 214 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-d_fbDqAGVdE.en.vtt 214 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-a61GPGk-Qy4.en.vtt 214 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-6c0XvswnGm0.it.vtt 213 Bytes
  • Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-pT0FXiH_5nI.it.vtt 213 Bytes
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-sNvQeSikRFY.hr.vtt 213 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Rf6WfB_1EJQ.zh-CN.vtt 212 Bytes
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-sNvQeSikRFY.it.vtt 212 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-a61GPGk-Qy4.pt-BR.vtt 212 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-goEMc0w58xM.ar.vtt 211 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-x2o1g3J-1nw.ja.vtt 211 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-PE-k3PGXeLY.es-ES.vtt 211 Bytes
  • Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-uimwo-puQWY.it.vtt 210 Bytes
  • Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-uimwo-puQWY.en.vtt 210 Bytes
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-sNvQeSikRFY.es-ES.vtt 210 Bytes
  • Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-rRPwknIDuI0.pt-BR.vtt 209 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-x2o1g3J-1nw.pt-PT.vtt 209 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-6c0XvswnGm0.ja.vtt 208 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.ru.vtt 207 Bytes
  • Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-pT0FXiH_5nI.ar.vtt 207 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-d_fbDqAGVdE.zh-CN.vtt 207 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-x2o1g3J-1nw.pt.vtt 206 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.th.vtt 205 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/09. Measurement and Motion 2-1X8Tu6TmKhY.en.vtt 204 Bytes
  • Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-pT0FXiH_5nI.hr.vtt 204 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.th.vtt 204 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-x2o1g3J-1nw.en.vtt 203 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-d_fbDqAGVdE.pt-BR.vtt 202 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.bn.vtt 201 Bytes
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-sNvQeSikRFY.ja.vtt 201 Bytes
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-sNvQeSikRFY.pt-BR.vtt 201 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-hyAQ28MYmc4.ja.vtt 200 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-V96RcbbVP7Q.ja.vtt 199 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-V96RcbbVP7Q.zh-CN.vtt 198 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-d_fbDqAGVdE.ja.vtt 198 Bytes
  • Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-pT0FXiH_5nI.en.vtt 198 Bytes
  • Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-uimwo-puQWY.hr.vtt 197 Bytes
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.zh-CN.vtt 197 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/09. Measurement and Motion 2-1X8Tu6TmKhY.zh-CN.vtt 196 Bytes
  • Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-pT0FXiH_5nI.zh-CN.vtt 196 Bytes
  • Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-pT0FXiH_5nI.ja.vtt 194 Bytes
  • Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-uimwo-puQWY.ja.vtt 194 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-PE-k3PGXeLY.it.vtt 193 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-PE-k3PGXeLY.en.vtt 193 Bytes
  • Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-sNvQeSikRFY.zh-CN.vtt 192 Bytes
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.es-ES.vtt 192 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-PE-k3PGXeLY.zh-CN.vtt 192 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.ar.vtt 191 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-7ZLe_JP5wRY.ar.vtt 190 Bytes
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.en.vtt 190 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-GMC_T-hbTlc.es-ES.vtt 189 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/09. Measurement and Motion 2-1X8Tu6TmKhY.ja.vtt 187 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-cw_zgQbAWNU.ja.vtt 187 Bytes
  • Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-pT0FXiH_5nI.pt-BR.vtt 186 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-GMC_T-hbTlc.en.vtt 186 Bytes
  • Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.es-ES.vtt 185 Bytes
  • Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.pt-BR.vtt 184 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.ja.vtt 184 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-cw_zgQbAWNU.pt-BR.vtt 183 Bytes
  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion-xNPEjY4dsds.ja.vtt 181 Bytes
  • Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.en.vtt 180 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.es-ES.vtt 180 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.th.vtt 178 Bytes
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.it.vtt 178 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.th.vtt 177 Bytes
  • Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-uimwo-puQWY.zh-CN.vtt 177 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.es.vtt 177 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.ar.vtt 176 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.zh-CN.vtt 176 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-Se-ddM2Wdac.ja.vtt 176 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-x2o1g3J-1nw.zh-CN.vtt 175 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-Se-ddM2Wdac.ar.vtt 175 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-PE-k3PGXeLY.pt-PT.vtt 175 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-goEMc0w58xM.ja.vtt 175 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.it.vtt 175 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-7ZLe_JP5wRY.it.vtt 174 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-cw_zgQbAWNU.es-ES.vtt 174 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-goEMc0w58xM.es-ES.vtt 174 Bytes
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.pt-BR.vtt 173 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.pt-PT.vtt 173 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.es-ES.vtt 172 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-PE-k3PGXeLY.pt.vtt 172 Bytes
  • Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.it.vtt 171 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-cw_zgQbAWNU.it.vtt 171 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.en.vtt 170 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.pt-PT.vtt 170 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.pt.vtt 170 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.en.vtt 169 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.es.vtt 169 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.ja.vtt 169 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.pt-BR.vtt 169 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-goEMc0w58xM.pt-BR.vtt 169 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.pt.vtt 167 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-cw_zgQbAWNU.en.vtt 167 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.es-ES.vtt 166 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-GMC_T-hbTlc.zh-CN.vtt 166 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-7ZLe_JP5wRY.es-ES.vtt 165 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.th.vtt 164 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.pt-BR.vtt 164 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.it.vtt 164 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.pt-PT.vtt 164 Bytes
  • Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.zh-CN.vtt 164 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.pt-BR.vtt 164 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-W5i-gRAvZxs.ar.vtt 163 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.zh-CN.vtt 163 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-W5i-gRAvZxs.pt-BR.vtt 162 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.ar.vtt 161 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.pt.vtt 161 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.th.vtt 160 Bytes
  • Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.ja.vtt 159 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.ar.vtt 158 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-7ZLe_JP5wRY.zh-CN.vtt 158 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-goEMc0w58xM.zh-CN.vtt 158 Bytes
  • Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.hr.vtt 157 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-Se-ddM2Wdac.pt-BR.vtt 157 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-Se-ddM2Wdac.es-ES.vtt 157 Bytes
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.hr.vtt 155 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-goEMc0w58xM.en.vtt 155 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.es-ES.vtt 155 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-7ZLe_JP5wRY.ja.vtt 155 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.it.vtt 153 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.ar.vtt 153 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.th.vtt 152 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-cw_zgQbAWNU.zh-CN.vtt 152 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-7ZLe_JP5wRY.en.vtt 152 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.ru.vtt 150 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.en.vtt 150 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.zh-CN.vtt 149 Bytes
  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.ja.vtt 149 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-Se-ddM2Wdac.zh-CN.vtt 149 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.pt-BR.vtt 149 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.es-ES.vtt 147 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-Se-ddM2Wdac.en.vtt 147 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.pt-BR.vtt 146 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-G9yQ_URDrDQ.ar.vtt 144 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.es-ES.vtt 143 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.en.vtt 142 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.ja.vtt 142 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.es-ES.vtt 142 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.en.vtt 142 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-GMC_T-hbTlc.ja.vtt 141 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.ja.vtt 141 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.ja.vtt 141 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.en.vtt 140 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-W5i-gRAvZxs.es-ES.vtt 140 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.it.vtt 138 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.ja.vtt 138 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-G9yQ_URDrDQ.es-ES.vtt 138 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.it.vtt 138 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.th.vtt 137 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-W5i-gRAvZxs.en.vtt 136 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.th.vtt 135 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.ja.vtt 135 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-W5i-gRAvZxs.ja.vtt 134 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.ja.vtt 133 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-G9yQ_URDrDQ.ja.vtt 132 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.ar.vtt 132 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.th.vtt 130 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.it.vtt 129 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.es-ES.vtt 129 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-G9yQ_URDrDQ.en.vtt 129 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-G9yQ_URDrDQ.zh-CN.vtt 129 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.ar.vtt 129 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.en.vtt 128 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.zh-CN.vtt 128 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.it.vtt 127 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.zh-CN.vtt 127 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-xFFxdNj6pTA.es-ES.vtt 126 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.ja.vtt 126 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.ar.vtt 126 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-G9yQ_URDrDQ.pt-BR.vtt 125 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.es-ES.vtt 125 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.pt-BR.vtt 123 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.ja.vtt 123 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-W5i-gRAvZxs.zh-CN.vtt 123 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.zh-CN.vtt 123 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.ja.vtt 123 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.ja.vtt 122 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.ar.vtt 122 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.pt-BR.vtt 122 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-xFFxdNj6pTA.zh-CN.vtt 121 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.en.vtt 120 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.es-ES.vtt 120 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.es-ES.vtt 120 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.ja.vtt 119 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.en.vtt 119 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.es-ES.vtt 118 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.ar.vtt 118 Bytes
  • Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.zh-CN.vtt 118 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.es.vtt 117 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.zh-CN.vtt 116 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-xFFxdNj6pTA.en.vtt 116 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.zh-CN.vtt 115 Bytes
  • Part 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-xFFxdNj6pTA.ja.vtt 115 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.en.vtt 113 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.zh-CN.vtt 113 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.ja.vtt 113 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.it.vtt 111 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.zh-CN.vtt 111 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.ar.vtt 110 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.zh-CN.vtt 110 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.ja.vtt 110 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.pt-PT.vtt 110 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.en.vtt 110 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.es-ES.vtt 109 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.es-ES.vtt 109 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.en.vtt 109 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.zh-CN.vtt 108 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.pt-BR.vtt 108 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.es-ES.vtt 108 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.pt-BR.vtt 108 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.th.vtt 108 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.es-ES.vtt 107 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.pt.vtt 107 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.pt-BR.vtt 106 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.es-ES.vtt 105 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.en.vtt 104 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.en.vtt 103 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.ja.vtt 102 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.es-ES.vtt 101 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.pt-BR.vtt 99 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.zh-CN.vtt 98 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.pt-PT.vtt 98 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.en.vtt 97 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.en.vtt 96 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.it.vtt 96 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.ar.vtt 96 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.pt.vtt 95 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.ar.vtt 95 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.en.vtt 95 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.ja.vtt 94 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.pt-BR.vtt 94 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.it.vtt 93 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.pt-BR.vtt 92 Bytes
  • Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.zh-CN.vtt 91 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.ja.vtt 91 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.zh-CN.vtt 90 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.it.vtt 90 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.en.vtt 89 Bytes
  • Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.zh-CN.vtt 87 Bytes

随机展示

相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！
>