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 |