Math 0-1 - Matrix Calculus in Data Science and Machine Learning

磁力链接/BT种子名称

Math 0-1 - Matrix Calculus in Data Science and Machine Learning

磁力链接/BT种子简介

种子哈希：79c173bef0f2cacb5947e5b198e120287322c28c
文件大小：936.28M
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收录时间：2024-07-24
最近下载：2024-11-27

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文件列表

  • Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/002. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 68.1 MB
  • Chapter 2 Matrix and Vector Derivatives/007. Exercise Gaussian.mp4 67.8 MB
  • Chapter 3 Optimization Techniques/003. Gradient Descent (One Dimension).mp4 56.2 MB
  • Chapter 2 Matrix and Vector Derivatives/003. Quadratic Form (pt 1).mp4 56.2 MB
  • Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Anaconda Environment Setup.mp4 49.5 MB
  • Chapter 2 Matrix and Vector Derivatives/010. Chain Rule Generalized.mp4 47.5 MB
  • Chapter 3 Optimization Techniques/008. Exercise Code Preparation.mp4 42.4 MB
  • Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 41.7 MB
  • Chapter 2 Matrix and Vector Derivatives/012. Left and Right Inverse as Optimization Problems.mp4 40.8 MB
  • Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/001. Can YouTube Teach Me Calculus (Optional).mp4 40.7 MB
  • Chapter 3 Optimization Techniques/006. Newton's Method (Multiple Dimensions).mp4 39.1 MB
  • Chapter 3 Optimization Techniques/009. Gradient Descent and Newton's Method in Python.mp4 37.1 MB
  • Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/004. What order should I take your courses in (part 2).mp4 36.3 MB
  • Chapter 2 Matrix and Vector Derivatives/009. Chain Rule in Matrix Form.mp4 30.8 MB
  • Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/003. What order should I take your courses in (part 1).mp4 27.9 MB
  • Chapter 2 Matrix and Vector Derivatives/008. Chain Rule.mp4 25.1 MB
  • Chapter 2 Matrix and Vector Derivatives/013. Derivative of Determinant.mp4 24.8 MB
  • Chapter 2 Matrix and Vector Derivatives/006. Exercise Least Squares.mp4 22.7 MB
  • Chapter 3 Optimization Techniques/005. Newton's Method (One Dimension).mp4 22.5 MB
  • Chapter 3 Optimization Techniques/007. Exercise Newton's Method for Least Squares.mp4 22.3 MB
  • Chapter 3 Optimization Techniques/002. Second Derivative Test in Multiple Dimensions.mp4 22.0 MB
  • Chapter 2 Matrix and Vector Derivatives/011. Exercise Quadratic with Constraints.mp4 21.2 MB
  • Chapter 1 Introduction/002. How to succeed in this course.mp4 18.3 MB
  • Chapter 6 Appendix FAQ Finale/002. BONUS.mp4 17.9 MB
  • Chapter 3 Optimization Techniques/004. Gradient Descent (Multiple Dimensions).mp4 15.4 MB
  • Chapter 2 Matrix and Vector Derivatives/002. Linear Form.mp4 14.8 MB
  • Chapter 1 Introduction/001. Introduction and Outline.mp4 13.6 MB
  • Chapter 2 Matrix and Vector Derivatives/015. Suggestion Box.mp4 11.7 MB
  • Chapter 2 Matrix and Vector Derivatives/004. Quadratic Form (pt 2).mp4 11.6 MB
  • Chapter 2 Matrix and Vector Derivatives/005. Exercise Quadratic.mp4 8.4 MB
  • Chapter 2 Matrix and Vector Derivatives/001. Derivatives - Section Introduction.mp4 6.5 MB
  • Chapter 6 Appendix FAQ Finale/001. What is the Appendix.mp4 6.1 MB
  • Chapter 3 Optimization Techniques/001. Optimization - Section Introduction.mp4 4.3 MB
  • Chapter 3 Optimization Techniques/010. Optimization - Section Summary.mp4 4.0 MB
  • Chapter 1 Introduction/003. Where to get the code.mp4 3.3 MB
  • Chapter 2 Matrix and Vector Derivatives/014. Derivatives - Section Summary.mp4 2.5 MB
  • Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.en.srt 34.6 kB
  • Chapter 3 Optimization Techniques/003. Gradient Descent (One Dimension).en.srt 32.4 kB
  • Chapter 2 Matrix and Vector Derivatives/003. Quadratic Form (pt 1).en.srt 31.2 kB
  • Chapter 2 Matrix and Vector Derivatives/007. Exercise Gaussian.en.srt 31.0 kB
  • Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/004. What order should I take your courses in (part 2).en.srt 25.9 kB
  • Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/001. Can YouTube Teach Me Calculus (Optional).en.srt 25.1 kB
  • Chapter 2 Matrix and Vector Derivatives/010. Chain Rule Generalized.en.srt 23.3 kB
  • Chapter 2 Matrix and Vector Derivatives/012. Left and Right Inverse as Optimization Problems.en.srt 22.8 kB
  • Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/002. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.en.srt 22.3 kB
  • Chapter 3 Optimization Techniques/006. Newton's Method (Multiple Dimensions).en.srt 20.1 kB
  • Chapter 3 Optimization Techniques/009. Gradient Descent and Newton's Method in Python.en.srt 19.3 kB
  • Chapter 3 Optimization Techniques/008. Exercise Code Preparation.en.srt 19.0 kB
  • Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/003. What order should I take your courses in (part 1).en.srt 18.4 kB
  • Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Anaconda Environment Setup.en.srt 17.3 kB
  • Chapter 2 Matrix and Vector Derivatives/009. Chain Rule in Matrix Form.en.srt 17.2 kB
  • Chapter 1 Introduction/002. How to succeed in this course.en.srt 13.9 kB
  • Chapter 2 Matrix and Vector Derivatives/011. Exercise Quadratic with Constraints.en.srt 12.9 kB
  • Chapter 2 Matrix and Vector Derivatives/008. Chain Rule.en.srt 12.8 kB
  • Chapter 3 Optimization Techniques/005. Newton's Method (One Dimension).en.srt 12.7 kB
  • Chapter 3 Optimization Techniques/007. Exercise Newton's Method for Least Squares.en.srt 12.4 kB
  • Chapter 3 Optimization Techniques/002. Second Derivative Test in Multiple Dimensions.en.srt 12.3 kB
  • Chapter 2 Matrix and Vector Derivatives/006. Exercise Least Squares.en.srt 11.6 kB
  • Chapter 2 Matrix and Vector Derivatives/013. Derivative of Determinant.en.srt 10.5 kB
  • Chapter 2 Matrix and Vector Derivatives/002. Linear Form.en.srt 8.9 kB
  • Chapter 3 Optimization Techniques/004. Gradient Descent (Multiple Dimensions).en.srt 8.6 kB
  • Chapter 6 Appendix FAQ Finale/002. BONUS.en.srt 8.1 kB
  • Chapter 1 Introduction/001. Introduction and Outline.en.srt 7.5 kB
  • Chapter 2 Matrix and Vector Derivatives/004. Quadratic Form (pt 2).en.srt 7.3 kB
  • Chapter 2 Matrix and Vector Derivatives/001. Derivatives - Section Introduction.en.srt 5.7 kB
  • Chapter 2 Matrix and Vector Derivatives/005. Exercise Quadratic.en.srt 4.8 kB
  • Chapter 2 Matrix and Vector Derivatives/015. Suggestion Box.en.srt 4.7 kB
  • Chapter 6 Appendix FAQ Finale/001. What is the Appendix.en.srt 4.2 kB
  • Chapter 3 Optimization Techniques/001. Optimization - Section Introduction.en.srt 3.4 kB
  • Chapter 3 Optimization Techniques/010. Optimization - Section Summary.en.srt 2.8 kB
  • Chapter 2 Matrix and Vector Derivatives/014. Derivatives - Section Summary.en.srt 1.9 kB
  • Chapter 1 Introduction/003. Where to get the code.en.srt 1.7 kB

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