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Schedule
Lecture notes can be found here: Notes.
Check here for the required materials.
| Aug 26 (Th) | Course overview Notes |
| Aug 31 (T) | Matrix calculus, algebra, and probability |
| Sep 2 (Th) | Linear Regression |
| Sep 6 (M) | Holiday |
| Sep 7 (T) | Linear Regression |
| Sep 9 (Th) | Linear Regression, Logistic Regression |
| Sep 14 (T) | Logistic Regression, LDA |
| Sep 16 (Th) | LDA, sample splitting |
| Sep 21 (T) | Support vector machine |
| Sep 23 (Th) | SVM, Cross validation |
| Sep 28 (T) | Bootstrap, Regularization |
| Sep 30 (Th) | Regularization, Sparsity |
| Oct 5 (T) | |
| Oct 7 (Th) | |
| Oct 12 (T) | |
| Oct 14 (Th) | |
| Oct 19 (T) | |
| Oct 21 (Th) | |
| Oct 26 (T) | |
| Oct 28 (Th) | |
| Nov 2 (T) | |
| Nov 4 (Th) | |
| Nov 9 (T) | |
| Nov 11 (Th) | No lecture |
| Nov 16 (T) | |
| Nov 18 (Th) | |
| Nov 23 (T) | |
| Nov 25 (Th) | No lecture |
| Nov 30 (T) | |
| Dec 2 (Th) | Last lecture |
| Dec 7 (T) | Review |
| Dec 9 (Th) | Review |
| Dec 14 (T) | - |
| Dec 16 (Th) | Final exam
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