Winter Semester 2024/25 @kozaka93 @woznicak
Materials for courses conducted at the Faculty of Mathematics and Information Sciences, Warsaw University of Technology.
| Week | Lecture | Labs | ||
|---|---|---|---|---|
| 1 | 3/10 | Intro do przedmiotu + GS, RS | 2/10 | Przypomnienie ML |
| 2 | 10/10 | Tunability - Bayes | 9/10 | Pipelines w ML (GS, RS) |
| 3 | 17/10 | Artykuł tunabilty | 16/10 | HPO Bayes I |
| 4 | 24/10 | Ensemble | 23/10 | HPO Bayes II |
| 5 | 31/10 | Meta-learning | 30/10 | Pipelines w ML 2 (stacking) |
| 6 | 7/11 | AutoGluon | 6/11 | |
| 7 | 21/11 | Autosklearn | 13/11 | AutoGluon |
| 8 | 28/11 | TBA | 20/11 | Autosklearn 1.0 |
| 9 | 5/12 | MLJAR | 27/11 | |
| 10 | 12/12 | AMLTK | 04/12 | |
| 11 | 19/12 | TabPFN | 11/12 | MLJAR |
| 12 | 02/01 | Survey about Trust in AutoML | 18/12 | AMLTK |
| 13 | 09/01 | TBA | 15/01 | |
| 14 | 16/01 | 22/01 | ||
| 15 | 23/01 | 29/01 | ||
You can obtain up to 90 points during the term, which will be assigned according to the following list:
- Homeworks (2 x 40 points)
- Presentation (10 points)
The grades will be given according to the table:
| Grade | 3 | 3.5 | 4 | 4.5 | 5 |
|---|---|---|---|---|---|
| Points | (45, 54] | (54, 63] | (63, 72] | (72, 81] | (81, ∞) |
