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  1. Orthogonal matrices‏‎ (2 revisions)
  2. Awscli in cygwin‏‎ (2 revisions)
  3. Lesson 1 Timeline‏‎ (2 revisions)
  4. Python libraries‏‎ (2 revisions)
  5. Dynamic learning rates‏‎ (2 revisions)
  6. Machine Learning 101‏‎ (2 revisions)
  7. Lesson 2 Outline‏‎ (2 revisions)
  8. Matrix inverse‏‎ (2 revisions)
  9. Basic differentiation‏‎ (2 revisions)
  10. Lesson 2 Timeline‏‎ (2 revisions)
  11. The chain rule‏‎ (2 revisions)
  12. Bash‏‎ (3 revisions)
  13. Fine tuning‏‎ (3 revisions)
  14. Fred Hollows Foundation‏‎ (3 revisions)
  15. Applications‏‎ (3 revisions)
  16. Neural Networks 101‏‎ (3 revisions)
  17. Lesson 0‏‎ (3 revisions)
  18. Lesson 3 Outline‏‎ (4 revisions)
  19. Lesson 3 Video Timeline‏‎ (4 revisions)
  20. Bash tips/Tmux‏‎ (4 revisions)
  21. Kaggle CLI‏‎ (4 revisions)
  22. Neural Networks‏‎ (4 revisions)
  23. Course notes‏‎ (5 revisions)
  24. Ubuntu installation‏‎ (5 revisions)
  25. Over-fitting‏‎ (5 revisions)
  26. Bash tips‏‎ (5 revisions)
  27. Jupyter notebook‏‎ (5 revisions)
  28. Matrix product‏‎ (5 revisions)
  29. Books‏‎ (5 revisions)
  30. A General Machine Learning Process‏‎ (5 revisions)
  31. Change EC2 Size‏‎ (5 revisions)
  32. Papers‏‎ (6 revisions)
  33. SQL‏‎ (6 revisions)
  34. Installation‏‎ (6 revisions)
  35. OVH install‏‎ (7 revisions)
  36. Github‏‎ (7 revisions)
  37. How to ask for Help‏‎ (7 revisions)
  38. Your Deep Learning Setup‏‎ (7 revisions)
  39. Lesson 4 Timeline‏‎ (7 revisions)
  40. Tutorials‏‎ (8 revisions)
  41. Azure install‏‎ (8 revisions)
  42. Machine Learning‏‎ (9 revisions)
  43. ELI5‏‎ (9 revisions)
  44. Lesson 6‏‎ (10 revisions)
  45. Stochastic Gradient Descent (SGD)‏‎ (10 revisions)
  46. Tmux‏‎ (10 revisions)
  47. Aws-alias‏‎ (11 revisions)
  48. How to use the Provided Notebooks‏‎ (11 revisions)
  49. Image Datasets‏‎ (11 revisions)
  50. Lesson-7-notes‏‎ (11 revisions)

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