| 1. Course logistic | slides | | 08.03.2023 |
| 2. Introduction + History of AI | slides | Chap. 1 DL book | 08.03.2023 |
| 3. Linear Algebra | slides | Chap. 2 DL book + MML book | 10.03.2023 |
| 4. Probability and Information theory | slides | Chap. 3 DL book + Chap1.2, 2.3 PRML book | 13.03.2023 |
| 5. Calculus | slides | Chap. 4 DL book | 15.03.2023 |
| 6. 💻 Introduction to Python | see material | | 17.03.2023 |
| 7. Machine Learning basics | slides | Chap. 5 DL book | 22.03.2023 |
| 8. Unsupervised Learning + k-Means + Hierachical clustering + DBSCAN | slides | Chap. 14 ESLII book | 27.03.2023 |
| 9. PCA / ICA | slides | Chap. 14 ESLII + Chap 12 PRML | 29.03.2023 |
| 10. 💻 Python algebra + numpy + data visualization | notebook | | 31.03.2023 |
| 11. Manifold learning + Spectral clustering | slides | Chap. 14 ESLII | 03.03.2023 |
| 12. Gaussian Mixture Models + EM + HMM | slides | Chap. 13 + 9 PRML | 05.04.2023 |
| 13. Clustering evaluation | slides | Chap 14 ESLII | 12.04.2023 |
| 14. 💻 scikit-learn clustering + project | notebook | | 14.04.2023 |
| 15. Supervised Learning + Linear Regression | slides | Chap 2.1 ESLII - Chap 3.1 PRML | 17.04.2023 |
| 16. Model Selection + Regularization | slides | Chap 1.3, 3.2 PRML - Chap 3.4, 7 ESLII | 19.04.2023 |
| 17. Linear classification + kNN + LDA | slides | Chap 2.5.2, 4 PRML - Chap 2.3, 4 ESLII | 21.04.2023 |
| 18. SVM + GP + Kernels | slides | Chap. 6, 7 PRML | 26.04.2023 |
| 19. 💻 Practical session TBD | notebook | | 28.04.2023 |
| 20. Ensemble + Decision Trees + Random Forest | slides | Chap 8.7, 9.2, 10.2, 15 ESLII | 03.05.2023 |
| 21. Preprocessing + Interpretation + Feature selection + testing | slides | | 05.05.2023 |
| 22. 💻 scikit-learn classification | | | 08.05.2023 |
| 23. Neural Networks Intro | slides | Chap 6 DL | 10.05.2023 |
| 24. Backpropagation + Optimization | slides | Chap 7,8 DL | 12.05.2023 |
| 25. CNN | slides | Chap. 9 DL | 15.05.2023 |
| 26. RNN | slides | Chap 10 DL, 12.4 DL | 17.05.2023 |
| 27. 💻 Neural network intro + pytorch | notebook | | 19.05.2023 |
| 28. Autoencoder + GAN | slides | | 22.05.2023 |
| 29. Machine Learning and Neuroscience | slides | | 24.05.2023 |
| 30. 💻 pytorch | notebook | | 26.05.2023 |
| 31. Dataviz + Project | slides | | 29.05.2023 |
| 32. Project | | | 31.05.2023 |