Lectures
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Month | Day | Topic | Slides | Assignment | Req. Reading |
---|---|---|---|---|---|
Organization ![]() |
self-test | ISLP 1, ESL 1 | |||
Oct | 26 | Bias and Variance ![]() |
ISLP 2, ESL 2 | ||
Nov | 2 | Linear Regression I ![]() |
1st sheet out | ISLP3, ESL 3 | |
9 | Linear Regression II ![]() |
ISLP 3, ESL 3 | |||
16 | Classification I ![]() |
deadline 1st, 2nd out | ISLP 4, ESL 4 | ||
23 | Classification II ![]() |
ISLP 4, ESL 4 | |||
30 | Generalization ![]() |
deadline 2nd, 3rd out | ISLP 5, ESL 7,8 | ||
Dec | 7 | Model Selection ![]() |
ISLP 6, ESL 3,14 | ||
14 | Beyond Linear ![]() |
deadline 3rd, 4th out | ISLP 7, ESL 5,6,9 | ||
21 | yay holiday – no class | ||||
28 | yay holiday – no class | ||||
Jan | 4 | Dimensionality Reduction ![]() |
deadline 4th, 5th out | ISLP 12, ESL 14, tSNE | |
11 | Clustering ![]() |
ISLP 12, ESL 14 | |||
18 | Trees and Forests ![]() |
deadline 5th, 6th out | ISLP 8, ESL 9-10,15-16 | ||
25 | Support Vector Machines ![]() |
ISLP 9, ESL 12,6 | |||
Feb | 1 | Neural Networks ![]() |
deadline 6th | ISLP 10, ESL 11 | |
8 | ML and the Real World ![]() |
none | |||
16 | registration deadline exam | ||||
23 | exam | ||||
March | 14 | registration deadline re-exam | |||
21 | re-exam |