Each bootcamp day will be devoted to the presentation of a particular theme. For each theme, during the first half-day, participants will receive an initiation to the fundamentals of the domain. The second half-day will be dedicated to applicate aspects. In paticular, each day, exercises sessions (on a computer or not) will enforce the theoretical contents of the lecture. All courses will be filmed and displayed on Videolectures.
The following schedule is provisional and will consequently be modified in the next weeks. The topics of the courses and are definitive.
Day | Morning (8 AM) | Afternoon (2 PM) |
|---|---|---|
Monday, July 5th | Introduction to Machine Learning | |
Tuesday, July 6th | Probability and Mathematical Needs 1 | Probability and Mathematical Needs 2 |
Wednesday, July 7th | Graphical Models 1 | Graphical Models 2 |
Thursday, July 8th | Kernel Methods 1 | ML for Natural Languages Processing 1 |
Friday, July 9th | ML for Natural Languages Processing 2 | Kernel Methods 2 |
Saturday, July 10th | On-Line Learning 1 | On-Line Learning 2 |
Monday, July 12th | Panel session | Grammatical Induction |
Tuesday, July 13th | Clustering |