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Lab exercises

Instructors: Petr Pošík, Jiří Spilka

  • Czech labs: Tuesdays, 14:30-16:00, 16:15-17:45, room KN:E-230
  • English lab: Tuesdays, 18:00-19:30, room KN:E-230

Work in progress, update for the upcoming semester.

Date Week Odd/Even Contents Link
19.02.2019 1. E Course organization. Intro to Python/ML Intro
26.02.2019 2. O Bayesian and non-bayesian decision tasks ML 1
05.03.2019 3. E Linear regression ML 2
12.03.2019 4. O Non-linear models via basis expansion, logistic regression ML 3
19.03.2019 5. E Model evaluation and diagnostics ML 4
26.03.2019 6. O Decision trees and ensemble models ML 5
02.04.2019 7. E Semestral task 1, Neural networks ST1a, ST1b, ML 6
09.04.2019 8. O A brief intro to ST1, Bayesian networks PM 1
16.04.2019 9. E Hidden Markov Models 1 PM 2
23.04.2019 10. O Hidden Markov Models 2 ST2, PM 3
30.04.2019 11. E Hierarchical Task Net (HTN) Planning HTN
07.05.2019 12. O Constraint satisfaction problems CSP
14.05.2019 13. E Schedule as on Wednesday
21.05.2019 14. O Scheduling CPM
courses/ui/exercises/start.txt · Last modified: 2019/05/21 12:01 by spilkjir