Instructors: Petr Pošík, Jiří Spilka
Work in progress, update for the upcoming semester.
The column Deadlines is just for an overall picture. The actual deadlines are always in BRUTE.
Date | W# | Contents | Link | Deadlines | Note |
---|---|---|---|---|---|
16.02. | 1 | Course organization. Intro to Python/ML | Intro | - | |
23.02. | 2 | Bayesian and non-bayesian decision tasks | ML 1 | - | |
02.03. | 3 | Linear regression | ML 2 | Last week for ML 2 | |
09.03. | 4 | Sem. task 1a and 1b. Logistic regression, basis expansion. | ML 3 | Last week for ML 3 | |
16.03. | 5 | Model evaluation and diagnostics | ML 4 | Last week for ML 4 | Updated Task 1b, cf. comments |
23.03. | 6 | Decision trees and ensemble models | ML 5 | Last week for ML 5 | |
30.03. | 7 | Neural networks | ML 6 | Last week for ML 6 | |
06.04. | 8 | Semestral task 2. Bayesian networks | PM 1 | Last week for ST1 | ST1 report checklist |
13.04. | 9 | Hidden Markov Models 1 | PM 2 | - | |
20.04. | 10 | Hidden Markov Models 2 | PM 3 | Last week for PM 2+3 | |
27.04. | 11 | Hierarchical Task Net (HTN) Planning | HTN | Last week for HTN. | |
04.05. | 12 | Constraint satisfaction problems | CSP | Last week for ST2 | |
11.05. | 13 | Scheduling | CPM | Last week for CSP | |
18.05. | 14 | Reserve, questions, consultations. | Last week for CPM |