BtFinder

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

File Information:
  1. Magnet Link：Magnet LinkMagnet Link
  2. File Size：958.75 MB
  3. Creat Time：2024-10-02
  4. Active Degree：39
  5. Last Active：2024-11-16
  6. File Tags：Math  0  1  Matrix  Calculus  in  Data  Science  and  Machine  Learning  
  7. Statement：This site does not provide download links, only text displays, and does not contain any infringement.
File List:

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

  1. Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/002. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 66.48 MB
  2. Chapter 2 Matrix and Vector Derivatives/007. Exercise Gaussian.mp4 66.26 MB
  3. Chapter 3 Optimization Techniques/003. Gradient Descent (One Dimension).mp4 54.87 MB
  4. Chapter 2 Matrix and Vector Derivatives/003. Quadratic Form (pt 1).mp4 54.85 MB
  5. Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Anaconda Environment Setup.mp4 48.32 MB
  6. Chapter 2 Matrix and Vector Derivatives/010. Chain Rule Generalized.mp4 46.37 MB
  7. Chapter 3 Optimization Techniques/008. Exercise Code Preparation.mp4 41.43 MB
  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 40.76 MB
  9. Chapter 2 Matrix and Vector Derivatives/012. Left and Right Inverse as Optimization Problems.mp4 39.80 MB
  10. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/001. Can YouTube Teach Me Calculus (Optional).mp4 39.76 MB
  11. Chapter 3 Optimization Techniques/006. Newton's Method (Multiple Dimensions).mp4 38.18 MB
  12. Chapter 3 Optimization Techniques/009. Gradient Descent and Newton's Method in Python.mp4 36.25 MB
  13. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/004. What order should I take your courses in (part 2).mp4 35.49 MB
  14. Chapter 2 Matrix and Vector Derivatives/009. Chain Rule in Matrix Form.mp4 30.10 MB
  15. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/003. What order should I take your courses in (part 1).mp4 27.26 MB
  16. Chapter 2 Matrix and Vector Derivatives/008. Chain Rule.mp4 24.51 MB
  17. Chapter 2 Matrix and Vector Derivatives/013. Derivative of Determinant.mp4 24.21 MB
  18. Chapter 2 Matrix and Vector Derivatives/006. Exercise Least Squares.mp4 22.15 MB
  19. Chapter 3 Optimization Techniques/005. Newton's Method (One Dimension).mp4 22.02 MB
  20. Chapter 3 Optimization Techniques/007. Exercise Newton's Method for Least Squares.mp4 21.74 MB
  21. Chapter 3 Optimization Techniques/002. Second Derivative Test in Multiple Dimensions.mp4 21.47 MB
  22. Chapter 2 Matrix and Vector Derivatives/011. Exercise Quadratic with Constraints.mp4 20.73 MB
  23. Chapter 1 Introduction/002. How to succeed in this course.mp4 17.90 MB
  24. Chapter 6 Appendix FAQ Finale/002. BONUS.mp4 17.48 MB
  25. Chapter 3 Optimization Techniques/004. Gradient Descent (Multiple Dimensions).mp4 15.05 MB
  26. Chapter 2 Matrix and Vector Derivatives/002. Linear Form.mp4 14.41 MB
  27. Chapter 1 Introduction/001. Introduction and Outline.mp4 13.32 MB
  28. Chapter 2 Matrix and Vector Derivatives/015. Suggestion Box.mp4 11.43 MB
  29. Chapter 2 Matrix and Vector Derivatives/004. Quadratic Form (pt 2).mp4 11.29 MB
  30. Chapter 2 Matrix and Vector Derivatives/005. Exercise Quadratic.mp4 8.22 MB
  31. Chapter 2 Matrix and Vector Derivatives/001. Derivatives - Section Introduction.mp4 6.37 MB
  32. Chapter 6 Appendix FAQ Finale/001. What is the Appendix.mp4 5.91 MB
  33. Chapter 3 Optimization Techniques/001. Optimization - Section Introduction.mp4 4.24 MB
  34. Chapter 3 Optimization Techniques/010. Optimization - Section Summary.mp4 3.89 MB
  35. Chapter 1 Introduction/003. Where to get the code.mp4 3.24 MB
  36. Chapter 2 Matrix and Vector Derivatives/014. Derivatives - Section Summary.mp4 2.46 MB
  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 34 KB
  38. Chapter 3 Optimization Techniques/003. Gradient Descent (One Dimension).en.srt 32 KB
  39. Chapter 2 Matrix and Vector Derivatives/003. Quadratic Form (pt 1).en.srt 31 KB
  40. Chapter 2 Matrix and Vector Derivatives/007. Exercise Gaussian.en.srt 31 KB
  41. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/004. What order should I take your courses in (part 2).en.srt 25 KB
  42. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/001. Can YouTube Teach Me Calculus (Optional).en.srt 25 KB
  43. Chapter 2 Matrix and Vector Derivatives/010. Chain Rule Generalized.en.srt 23 KB
  44. Chapter 2 Matrix and Vector Derivatives/012. Left and Right Inverse as Optimization Problems.en.srt 22 KB
  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 22 KB
  46. Chapter 3 Optimization Techniques/006. Newton's Method (Multiple Dimensions).en.srt 20 KB
  47. Chapter 3 Optimization Techniques/009. Gradient Descent and Newton's Method in Python.en.srt 19 KB
  48. Chapter 3 Optimization Techniques/008. Exercise Code Preparation.en.srt 18 KB
  49. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/003. What order should I take your courses in (part 1).en.srt 18 KB
  50. Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Anaconda Environment Setup.en.srt 17 KB
Hot Tags:


© 2014-2024 BtFinder Sitemap Tags  FindBt