Instructor: Jiří Spilka
Work in progress, update for the upcoming semester.
Date | Week | Odd/Even | Contents | Link |
---|---|---|---|---|
20.02.2018 | 1. | E | Course organization. Intro to Python | Intro |
27.02.2018 | 2. | O | Bayesian and non-bayesian decision tasks | ML 1 |
06.03.2018 | 3. | E | Linear regression | ML 2 |
13.03.2018 | 4. | O | Non-linear models via basis expansion, logistic regression | ML 3 |
20.03.2018 | 5. | E | Model evaluation and diagnostics | ML 4 |
27.03.2018 | 6. | O | Decision trees and ensemble models | ML 5 |
03.04.2018 | 7. | E | Semestral task 1, Neural networks | ST1, ML 6 |
10.04.2018 | 8. | O | A brief intro to ST1, Bayesian networks | PM 1 |
17.04.2018 | 9. | E | Hidden Markov Models 1 | PM 2 |
24.04.2018 | 10. | O | Hidden Markov Models 2 | ST2, PM 3 |
01.05.2018 | 11. | E | No labs. Public holiday. | |
08.05.2018 | 12. | O | No labs. Public holiday. | |
15.05.2018 | 13. | E | Hierarchical Task Net (HTN) Planning | HTN |
17.05.2018 | 13. | E | Schedule as on Tuesday. Scheduling | CPM |
22.05.2018 | 14. | O | Constraint satisfaction problems | CSP |