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Labs and Seminars

In the seminar, we will discuss solutions to theoretical assignments. These assignments will be made available in advance, and students are encouraged to work on them beforehand.

During the seminars, we will also assign and explain the practical homework tasks. Students will be required to implement solutions and submit their code for automatic evaluation. Additionally, some assignments will involve writing a report that includes responses to the given problems. These reports will be evaluated manually.

  • All homeworks must be submitted through the upload system.
  • All code must be implemented in Python.
  • Deadlines will be set for the submissions.

Lab/Seminar plan

Week Date Topic Teacher Materials Deadline/Notes
1 26. 9. seminar cancelled
2 3. 10. Seminar: Neural Networks JD/JP Matrix Differentiation (Barnes)
3 10. 10. Seminar: Predictor Evaluation, Assignment of HW 1 VF/JP HW1 deadline 06.11.2024 21:59
4 17. 10. Seminar: Empirical Risk Minimization, Assignment of HW 2 VF/JP HW2 deadline 13.11.2024 21:59
5 24. 10. Seminar: Probably Approximately Correct Learning , Assignment of HW3 VF/JP HW3 deadline 20.11.2024 21:59
6 31. 10. Seminar: VC dimension VF/JP
7 7. 11. Lab: Neural Networks, Assignment of HW4 JD HW4 deadline 11.12.2024 21:59
8 14. 11. Seminar: Support Vector Machines VF/JP
9 21. 11. Seminar: Ensembling JD/JP
10 28. 11. Seminar: Gradient Boosting Machine, Assignment of HW5 JP HW5 deadline 31.12.2024 23:59
11 5. 12. Seminar: Generative learning, Maximum Likelihood estimator , Assignment of HW6 VF/JP HW6 deadline 01.01.2025 21:59
12 12. 12. Seminar: EM algoritm; Bayesian learning , Assignment of HW7 VF JP unavailable
13 19. 12. seminar cancelled 🎁
14 9. 1. Seminar: (Hidden) Markov Models JD/JP
courses/be4m33ssu/labs.txt · Last modified: 2025/01/06 11:42 by drchajan