Winter Semester 2023/24 @kozaka93 @woznicak
Materials for courses conducted at the Faculty of Mathematics and Information Sciences, Warsaw University of Technology.
Links to interesting papers, books, recordings and more ➡️ here
| # | Month-Day | Lecture | Lab | Points |
| 1 | 10-04 | Course introduction | ML | |
| 10-06 | ||||
| 2 | 10-11 | Intro to AutoML | Pipelines | |
| 10-13 | ||||
| 3 | 10-18 | Frameworks, part I | Pipelines, stacking, AutoGluon | |
| 10-20 | ||||
| 4 | 10-25 | Tunability I | AutoGluon, hyperparameter optimization | |
| 10-27 | ||||
| 5 | 11-08 | Tunability II | Work on HW1 | |
| 11-03 | ||||
| 6 | 11-15 | Frameworks, part II | Work on HW1 | |
| 11-17 | ||||
| 7 | 11-22 | Presentation of HW1 | Auto-Sklearn | P* (10p) |
| 11-24 | ||||
| 8 | 11-29 | Presentation of HW1 | HW1 (40p) | |
| 12-01 | ||||
| 9 | 12-06 | MLJAR | MLJAR | |
| 12-08 | ||||
| 10 | 12-13 | Meta-learning | Work on HW2 | |
| 12-15 | ||||
| 11 | 12-20 | Benchmarks | ||
| 12-22 | ||||
| 12 | 01-03 | TabPFN | TabPFN | |
| 01-05 | ||||
| 13 | 01-10 | Ensembles | Work on HW2 | |
| 01-12 | ||||
| 14 | 01-17 | Presentation of HW2 | P* (10p) | |
| 01-19 | ||||
| 15 | 01-24 | Presentation of HW2 | HW2 (40p) | |
| 01-26 |
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, ∞) |