Machine learning and Data science teaching material
My colleague Anubhab Ghosh and I developed the material for 9 tutorials on Machine learning and Data Science (zip, latex). We gave the course in 2022 to master’s student at KTH Royal Institute of Technology.
| # | Tutorial | Solution | Other Material |
|---|---|---|---|
| 1 | Inference in linear models | Solution | Bishop Chap. 3 |
| 2 | Kernel substitution (GP) | Solution | Bishop Chap. 6, 7 |
| 3 | Kernel substitution (SVM) | Solution | Bishop Chap. 6, 7 |
| 4 | Neural networks (intro) | Solution | DL Book Chap. 5, 6 |
| 5 | Sparse Representation (project) | Solution | Slides |
| 6 | Graphical models (intro) | Solution | Bishop Chap. 8 |
| 7 | Graphical models (factor graphs) | Solution | Bishop Chap. 8 |
| 8 | Graphical models (EM) | Solution | Bishop Chap. 9 |
| 9 | Graphical models (VI) | Solution | Bishop Chap. 10 |