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

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

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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
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  • 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
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  • Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.mp4 6.1 MB
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  • 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
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  • 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
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  • 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
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  • Part 04-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.mp4 5.4 MB
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  • Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-UX3W8TUKbJ0.mp4 4.5 MB
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  • Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-dyqgMA5zRko.mp4 4.5 MB
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  • Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/05. L1 04 B V2-jR7_6Zqq228.mp4 4.3 MB
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  • 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
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  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/01. Localization Steps-4SiMoSTf4rQ.mp4 4.3 MB
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  • Part 06-Module 01-Lesson 01_How to Solve Problems/35. Finish daysBetweenDates--70lzVJyS8Y.mp4 4.1 MB
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  • Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1--F2gJXWbN6s.mp4 4.1 MB
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  • 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
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  • 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
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  • 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
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  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-mQtjczyAxQs.mp4 3.5 MB
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  • 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
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  • 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
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  • 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
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  • Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-CMQBKuYjPBM.mp4 3.0 MB
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  • Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-05upwXtARuo.mp4 2.9 MB
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  • Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-kieducUmiD0.mp4 2.8 MB
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • Part 05-Module 01-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.zh-CN.vtt 2.2 kB
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  • 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
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  • 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
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  • 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
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  • 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
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  • Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-N8dKtrrCZ7U.zh-CN.vtt 2.1 kB
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • Part 06-Module 01-Lesson 01_How to Solve Problems/07. Understanding a Problem-hkspB2e0S9A.uk.vtt 1.9 kB
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  • Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-SZ6Jg1wS604.es-ES.vtt 1.9 kB
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  • 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
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  • 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
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  • Part 04-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.en.vtt 1.6 kB
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  • Part 06-Module 01-Lesson 01_How to Solve Problems/22. Don't Optimize Prematurely-uQDk8euwyDI.zh-CN.vtt 1.6 kB
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  • Part 06-Module 01-Lesson 01_How to Solve Problems/40. Conclusion-JmP5wzHFchc.ar.vtt 1.6 kB
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  • Part 02-Module 01-Lesson 08_Probability Distributions/17. Density-4Ri4nhHKtU0.zh-CN.vtt 1.6 kB
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  • Part 06-Module 01-Lesson 01_How to Solve Problems/15. Take the Next Step-L4vB8eu6Wo8.ar.vtt 1.6 kB
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  • Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-gPfkboHV3QA.zh-CN.vtt 1.6 kB
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  • Part 02-Module 01-Lesson 11_Robot Localization/28. Localization Summary-MVbo4OAgQCc.en.vtt 1.6 kB
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  • Part 06-Module 01-Lesson 01_How to Solve Problems/03. Como Resolver Problemas-E6t0oGRXXh8.ja.vtt 1.6 kB
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  • 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
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  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/07. Quantifying State-9zMbwSqTZAc.en.vtt 1.5 kB
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  • 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
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  • 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
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  • Part 02-Module 01-Lesson 11_Robot Localization/28. Localization Summary-MVbo4OAgQCc.zh-CN.vtt 1.4 kB
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  • Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-7c7wYMftRSg.ar.vtt 1.4 kB
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  • Part 04-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.en.vtt 1.4 kB
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  • 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
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  • 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
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  • Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.ar.vtt 1.4 kB
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-4jNzxstbCy0.ja.vtt 1.2 kB
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  • Part 06-Module 01-Lesson 01_How to Solve Problems/25. Making Progress Is Good-cUFZPid3yVw.ar.vtt 1.2 kB
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  • Part 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-2T1JONL0WyE.zh-CN.vtt 1.2 kB
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  • Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.es-ES.vtt 1.2 kB
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  • 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
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  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-rczAG7meAY4.en.vtt 1.2 kB
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  • 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
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  • 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
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  • 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
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  • Part 06-Module 01-Lesson 01_How to Solve Problems/32. Real World Problem-lY0CYTfkLWo.zh-CN.vtt 1.2 kB
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  • Part 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-2T1JONL0WyE.pt-BR.vtt 1.2 kB
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  • Part 06-Module 01-Lesson 01_How to Solve Problems/40. Conclusion-JmP5wzHFchc.en.vtt 1.2 kB
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  • Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-7c7wYMftRSg.ja.vtt 1.1 kB
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.es-ES.vtt 1.1 kB
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  • Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.es.vtt 1.1 kB
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  • 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
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  • 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
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  • Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.zh-CN.vtt 953 Bytes
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  • Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-OdVAt79eQak.pt-BR.vtt 937 Bytes
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  • 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
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  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian--9AVZ-N_gbM.en.vtt 898 Bytes
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  • 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
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  • 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
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  • Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-4jNzxstbCy0.pt-BR.vtt 859 Bytes
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  • Part 02-Module 01-Lesson 09_Programming Probability Distributions/01. Nd113 Bayesian L9 01 V1-dWLZSQiN5vI.en.vtt 855 Bytes
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  • 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
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  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-fRYtUP0P4Lg.en.vtt 846 Bytes
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  • Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-GO6kbL3QRBE.ja.vtt 841 Bytes
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  • 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
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  • 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
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  • 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
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  • Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/08. Lesson Outline-jh7wLGXrm3E.zh-CN.vtt 824 Bytes
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  • 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
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  • 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
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  • 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
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  • Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Iz4ViIg9ZlQ.zh-CN.vtt 785 Bytes
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  • 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
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  • Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-3XiisY0IPPU.ja.vtt 777 Bytes
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  • 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
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  • 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
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  • Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2-WYA5Zbf8HC4.pt-BR.vtt 769 Bytes
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-PsyqM704q2Y.zh-CN.vtt 696 Bytes
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  • 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
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  • 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
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  • Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.th.vtt 677 Bytes
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.es-ES.vtt 522 Bytes
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  • Part 04-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.zh-CN.vtt 515 Bytes
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  • Part 02-Module 01-Lesson 12_Histogram Filter in Python/01. Project Overview-uaWZNKGTtgM.zh-CN.vtt 511 Bytes
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  • Part 06-Module 01-Lesson 04_Implement Route Planner/04. Nd113 Navigating Last Video V1-yJfKK3Mg-BE.zh-CN.vtt 506 Bytes
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  • 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
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  • Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-VLLG0rYC7To.ar.vtt 491 Bytes
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  • 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
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  • Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-gZbPZLFKS68.ja.vtt 472 Bytes
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  • Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-6ZV_SjrnvJQ.en.vtt 464 Bytes
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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

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