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  1. Including a lecture video segment
  2. Using TeX in your post
  3. HW5 Q8~9: Is the line a straight line?
  4. Evaluating a gradient function with vectors
  5. Help resolve HW 5 Problem 5 ambiguity?
  6. Meaning of 'Full iteration' in HW #5, problem #7
  7. clarification on lecture 9
  8. Neural Network - Model / Genetic Algorithm - Optimization
  9. Batch vs. SGD
  10. SGD Movie rating example
  11. Problem 5, not the closest?
  12. Questions on Lecture 9 (Linear Models II)
  13. HW5, Prob 7
  14. Definition of smooth in "smooth error measures"
  15. Telling the customer why he was denied credit
  16. Question on the Netflix example
  17. How To Interpret Cross Entropy Error Training Versus Test?
  18. Q3, general question
  19. Interesting result
  20. Lecture 10 : Perceptron Logic OR gate
  21. Hw5 q8
  22. Question on Gradient
  23. Target function formulation in Q8
  24. Q10 Clarification required
  25. movie ratings
  26. Why we need to shuffle the samples in SGD ?
  27. Q5.3 typo?
  28. Basic logistic regression question
  29. exercise 1, ballpark rule?
  30. Hw5 q8 data permutation
  31. Q3 linear model
  32. Hw5 Q8 E_out
  33. Q8-10: Problem parsing instructions
  34. *ANSWER* HW5-Q5: E(u,v) derivatives
  35. Q7 - understanding co-ordinate descent
  36. HW5 Q2 - ambiguity?
  37. Q8 implementation question
  38. *ANSWER* q5
  39. HW5 Q9: SGD and Epochs?
  40. Question 1
  41. *ANSWER* Question 2
  42. HW5 Q8-9: Plot of logistic function
  43. *ANSWER* q8/9
  44. Animation for logistic regression, first 20 epochs
  45. *ANSWER* HW5 Q8/9 - Help with R code
  46. *ANSWER* Hw 5, q10
  47. Homework for Neural Network