Machine Learning Foundations, Lecture 5, Part 2, page 7: "uniform bound" should be "union bound" (slides fixed)
Machine Learning Foundations, Lecture 5, Part 2, page 8: title should be "Union Bound" (slides fixed)
Machine Learning Foundations, Lecture 5, Part 3, near 16:13: 2(N-1)+2 mis-pronounced as 2(N+1)+2w
Machine Learning Foundations, Lecture 9, Part 3, page 16: `noise level' represents per-dimension variance of noise vector; the original illustration in the slides is buggy---slides have been fixed but the video hasn't
Machine Learning Foundations, Lecture 14, Part 2, page 12: `orthonormal' should better be `orthogonal' (i.e. not normalized)
Machine Learning Foundations, Lecture 15, Part 4, page 22: Eval(Dtrain) should better be Eval(gm-) or Eval(Am(Dtrain))
Machine Learning Foundations, Lecture 16, Part 2, page 12: sample misspelled as ample
Machine Learning Techniques, Lecture 6, Part 2, page 10: y in the top equation should be y_n
Machine Learning Techniques, Lecture 10, Part 3, page 15, at 17:00 (video): "OOB data with respect to G_t" should be "OOB data with respect to g_t"
Machine Learning Techniques, Lecture 10, Part 3, page 15: given that E_oob is small when performance is good, we should define importance as (permuted E_oob - original E_oob)
Machine Learning Techniques, Lecture 11, Part 2, page 9, repeated pages in handout slide
Machine Learning Techniques, Lecture 14, Part 1, page 5, at 9:30 (video): illustration of "Polynomial Kernel" repeated twice
Machine Learning Techniques, Lecture 14, Part 2, page 14, at 2:30 (video): neighbor in the title should be Neighbor
Last updated at CST 13:07, October 04, 2023
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