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

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文件列表

  1. Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/002. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 65MB
  2. Chapter 2 Matrix and Vector Derivatives/007. Exercise Gaussian.mp4 65MB
  3. Chapter 3 Optimization Techniques/003. Gradient Descent (One Dimension).mp4 54MB
  4. Chapter 2 Matrix and Vector Derivatives/003. Quadratic Form (pt 1).mp4 54MB
  5. Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Anaconda Environment Setup.mp4 47MB
  6. Chapter 2 Matrix and Vector Derivatives/010. Chain Rule Generalized.mp4 45MB
  7. Chapter 3 Optimization Techniques/008. Exercise Code Preparation.mp4 40MB
  8. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40MB
  9. Chapter 2 Matrix and Vector Derivatives/012. Left and Right Inverse as Optimization Problems.mp4 39MB
  10. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/001. Can YouTube Teach Me Calculus (Optional).mp4 39MB
  11. Chapter 3 Optimization Techniques/006. Newton's Method (Multiple Dimensions).mp4 37MB
  12. Chapter 3 Optimization Techniques/009. Gradient Descent and Newton's Method in Python.mp4 35MB
  13. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/004. What order should I take your courses in (part 2).mp4 35MB
  14. Chapter 2 Matrix and Vector Derivatives/009. Chain Rule in Matrix Form.mp4 29MB
  15. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/003. What order should I take your courses in (part 1).mp4 27MB
  16. Chapter 2 Matrix and Vector Derivatives/008. Chain Rule.mp4 24MB
  17. Chapter 2 Matrix and Vector Derivatives/013. Derivative of Determinant.mp4 24MB
  18. Chapter 2 Matrix and Vector Derivatives/006. Exercise Least Squares.mp4 22MB
  19. Chapter 3 Optimization Techniques/005. Newton's Method (One Dimension).mp4 22MB
  20. Chapter 3 Optimization Techniques/007. Exercise Newton's Method for Least Squares.mp4 21MB
  21. Chapter 3 Optimization Techniques/002. Second Derivative Test in Multiple Dimensions.mp4 21MB
  22. Chapter 2 Matrix and Vector Derivatives/011. Exercise Quadratic with Constraints.mp4 20MB
  23. Chapter 1 Introduction/002. How to succeed in this course.mp4 17MB
  24. Chapter 6 Appendix FAQ Finale/002. BONUS.mp4 17MB
  25. Chapter 3 Optimization Techniques/004. Gradient Descent (Multiple Dimensions).mp4 15MB
  26. Chapter 2 Matrix and Vector Derivatives/002. Linear Form.mp4 14MB
  27. Chapter 1 Introduction/001. Introduction and Outline.mp4 13MB
  28. Chapter 2 Matrix and Vector Derivatives/015. Suggestion Box.mp4 11MB
  29. Chapter 2 Matrix and Vector Derivatives/004. Quadratic Form (pt 2).mp4 11MB
  30. Chapter 2 Matrix and Vector Derivatives/005. Exercise Quadratic.mp4 8MB
  31. Chapter 2 Matrix and Vector Derivatives/001. Derivatives - Section Introduction.mp4 6MB
  32. Chapter 6 Appendix FAQ Finale/001. What is the Appendix.mp4 6MB
  33. Chapter 3 Optimization Techniques/001. Optimization - Section Introduction.mp4 4MB
  34. Chapter 3 Optimization Techniques/010. Optimization - Section Summary.mp4 4MB
  35. Chapter 1 Introduction/003. Where to get the code.mp4 3MB
  36. Chapter 2 Matrix and Vector Derivatives/014. Derivatives - Section Summary.mp4 2MB
  37. 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 34KB
  38. Chapter 3 Optimization Techniques/003. Gradient Descent (One Dimension).en.srt 32KB
  39. Chapter 2 Matrix and Vector Derivatives/003. Quadratic Form (pt 1).en.srt 30KB
  40. Chapter 2 Matrix and Vector Derivatives/007. Exercise Gaussian.en.srt 30KB
  41. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/004. What order should I take your courses in (part 2).en.srt 25KB
  42. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/001. Can YouTube Teach Me Calculus (Optional).en.srt 25KB
  43. Chapter 2 Matrix and Vector Derivatives/010. Chain Rule Generalized.en.srt 23KB
  44. Chapter 2 Matrix and Vector Derivatives/012. Left and Right Inverse as Optimization Problems.en.srt 22KB
  45. Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/002. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.en.srt 22KB
  46. Chapter 3 Optimization Techniques/006. Newton's Method (Multiple Dimensions).en.srt 20KB
  47. Chapter 3 Optimization Techniques/009. Gradient Descent and Newton's Method in Python.en.srt 19KB
  48. Chapter 3 Optimization Techniques/008. Exercise Code Preparation.en.srt 19KB
  49. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/003. What order should I take your courses in (part 1).en.srt 18KB
  50. Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Anaconda Environment Setup.en.srt 17KB
  51. Chapter 2 Matrix and Vector Derivatives/009. Chain Rule in Matrix Form.en.srt 17KB
  52. Chapter 1 Introduction/002. How to succeed in this course.en.srt 14KB
  53. Chapter 2 Matrix and Vector Derivatives/011. Exercise Quadratic with Constraints.en.srt 13KB
  54. Chapter 2 Matrix and Vector Derivatives/008. Chain Rule.en.srt 13KB
  55. Chapter 3 Optimization Techniques/005. Newton's Method (One Dimension).en.srt 12KB
  56. Chapter 3 Optimization Techniques/007. Exercise Newton's Method for Least Squares.en.srt 12KB
  57. Chapter 3 Optimization Techniques/002. Second Derivative Test in Multiple Dimensions.en.srt 12KB
  58. Chapter 2 Matrix and Vector Derivatives/006. Exercise Least Squares.en.srt 11KB
  59. Chapter 2 Matrix and Vector Derivatives/013. Derivative of Determinant.en.srt 10KB
  60. Chapter 2 Matrix and Vector Derivatives/002. Linear Form.en.srt 9KB
  61. Chapter 3 Optimization Techniques/004. Gradient Descent (Multiple Dimensions).en.srt 8KB
  62. Chapter 6 Appendix FAQ Finale/002. BONUS.en.srt 8KB
  63. Chapter 1 Introduction/001. Introduction and Outline.en.srt 7KB
  64. Chapter 2 Matrix and Vector Derivatives/004. Quadratic Form (pt 2).en.srt 7KB
  65. Chapter 2 Matrix and Vector Derivatives/001. Derivatives - Section Introduction.en.srt 6KB
  66. Chapter 2 Matrix and Vector Derivatives/005. Exercise Quadratic.en.srt 5KB
  67. Chapter 2 Matrix and Vector Derivatives/015. Suggestion Box.en.srt 5KB
  68. Chapter 6 Appendix FAQ Finale/001. What is the Appendix.en.srt 4KB
  69. Chapter 3 Optimization Techniques/001. Optimization - Section Introduction.en.srt 3KB
  70. Chapter 3 Optimization Techniques/010. Optimization - Section Summary.en.srt 3KB
  71. Chapter 2 Matrix and Vector Derivatives/014. Derivatives - Section Summary.en.srt 2KB
  72. Chapter 1 Introduction/003. Where to get the code.en.srt 2KB