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) |