| Week | Subject | Handouts |
|---|---|---|
| 1 | Introduction | ps pdf |
| 2 | PAC | ps pdf |
| 3 | Perceptron | ps pdf |
| 4 | SVM I (from 2003) | ps pdf |
| 5 | SVM II (from 2003) | ps pdf |
| 6 | Generalization - part I (from 2003) | ps pdf |
| 7 | Generalization - part II (from 2003) | ps pdf |
| 8 | Boosting (from 2003) | ps pdf |
| 9 | PCA (from 2003) | ps pdf |
| 10 | LDA | ps pdf |
| 11 | Bayes I | ps pdf |
| 12 | Bayes II | ps pdf |
| 13 | EM I | ps pdf |
| 14 | EM II | ps pdf |
| Week | Subject | Handouts |
|---|---|---|
| 1 | Validation and Measure Concentration | tar of pdf files (handwriting) |
| 2 | PAC | tar of pdf files (handwriting) |
| 3 | Perceptron | tar of pdf files (handwriting) |
| 4 | Convex Optimization | tar of pdf files (handwriting) |
| 5 | Hildreth Algorithm | tar of pdf files (handwriting) |
| 6 | VC dimension | tar of pdf files (handwriting) |
| 7 | The two samples theorem. SRM. | tar of pdf files (handwriting) |
| 8 | PCA. Was given by Michael Fink | ppt file |
| 9 | Boosting. Was given by Ran Bachrach | - |
| 10 | PCA and LDA. | tar of Matlab files |
| 11 | Bayes. | tar of pdf files (handwriting) |