# | Date | Teacher | Title |
---|---|---|---|
1 | 05/02/2019 | A. Rudi
P. Gaillard |
Introduction
TD0 (Python test file) |
2 | 12/02/2019 | P. Gaillard
R. Berthier |
Linear regression
TD1 (Data: classificationA_train, classificationA_test, classificationB_train, classificationB_test, classificationC_train, classificationC_test, mnist_digits.mat), solution |
3 | 19/02/2019 | A. Rudi
R. Berthier |
Statistical properties in ML
solution |
4 | 26/02/2019 | A. Rudi
R. Berthier |
KNN
TD2, solution |
05/03/2019 | Vacation | ||
5 | 12/03/2019 | P. Gaillard
R. Berthier |
Logistic regression and convex analysis
TD3, solution |
6 | 19/03/2019 | A. Rudi
R. Berthier |
Convex optimization (good slides from Aurélien Garivier, GD smooth and strongly convex, SGD)
TD4, solution |
26/03/2019 | No class | ||
7 | 02/04/2019 | P. Gaillard
R. Berthier |
High dimensional statistics
TD4, solution -- first assignment available |
8 | 09/04/2019 | P. Gaillard
R. Berthier |
Model based machine learning: maximum likelihood
TD5, data, solution |
9 | 16/04/2019 | A. Rudi
R. Berthier |
Kernels (good notes from Arthur Gretton, sections 1, 2, 6)
|
23/04/2019 | Vacation | ||
30/04/2019 | Vacation | ||
10 | 07/05/2019 | P. Gaillard
R. Berthier |
Unsupervised learning
TD7 -- first assignment due date and second assignment available |
11 | 14/05/2019 | A. Rudi
R. Berthier |
Neural networks
TD8 - solution |
12 | 21/05/2019 | A. Rudi
R. Berthier |
Summary
Last semester exam, solution -- second assignment due date |
13 | 28/05/2019 | P. Gaillard | Exam |