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  1. Including a lecture video segment
  2. Using TeX in your post
  3. HW2.5: does location of split boundaries matter?
  4. HW2.10 out-sample error on original(2D) or transformed (5D) X space?
  5. HW 2.8: Seeking clarification on simulated noise
  6. Homework 2 clarification
  7. How to do the homework?
  8. *ANSWER* Hw 2, problem 3
  9. hw2 q10: noise calculation on Eout?
  10. Question about noisy targets
  11. Linear Regression
  12. FYI: Matlab/Octave users...
  13. Hoeffdingís inequality
  14. HW2 problem 10
  15. question on 2.8 and 2.9
  16. HW 2 Problem 6
  17. Q1 and Q2
  18. P(X) and Error Measure Doubts in Lecture 4
  19. Question on union bound
  20. PLA and Regression implementation issue
  21. Regression then PLA
  22. Q2.2/Hoeffding clarifications
  23. Query regarding Noise Targets lecture 4
  24. Discussion of Lecture 3 "The Linear Model I"
  25. numerical issues
  26. The statement of Peter Norvig concerning machine learning
  27. PLA (question 7): inital weight is too weak hint
  28. Hard to understand what is wanted in HW2, Q6
  29. Lecture 3 Q&A independence of parameter inputs
  30. Question 2
  31. HW2- Question 8
  32. Question 1, c1 is not changing
  33. *ANSWER* HW2 question 8
  34. Visualizations - Qs8, 9 & 10
  35. *ANSWER* HW2, Q4 Signficance of answer
  36. *ANSWER* checking the answer of Q1
  37. LR and PLA with scaled input space
  38. [Lec-3] Include w0 and x0 in linear regression formula
  39. Minimizing Ein by differentiation wr.t w
  40. Questions on target distribution and others of lecture four
  41. *ANSWER* Homework 1 Question 3, 4
  42. Question on HW2.1
  43. Linear Regression Classification HW2 Q5/6
  44. Multiplication matrix X and its transpose
  45. Lecture 3 Errata
  46. Q5 Least Squares Behaviour
  47. HW2 Q1 (generating a binomial distribution)
  48. *ANSWER* HW 2, Question 5, 6 & 7
  49. Homework 2, Q7