===== 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 [[http://cw.felk.cvut.cz/upload/|upload system]].
  * All code must be implemented in Python.
  * Deadlines will be set for the submissions.

===== Lab/Seminar plan =====

^Week ^Date ^Topic ^Teacher ^Materials ^ Notes / Homeworks^ Deadline^
|  1  | 25. 9. | //seminar cancelled// | | | | |
|  2  | 2. 10.  | **Seminar: Predictor Evaluation**  | VF/JP  | {{ :courses:be4m33ssu:ws2025_predeval_solutions.pdf | (with solutions) }} | Assignment of [[https://cw.fel.cvut.cz/wiki/courses/be4m33ssu/homeworks/hw_confidence_interval | HW 1]] | 6.11.2025 |
|  3  | 9. 10.| **Seminar: Probably Approximately Correct Learning **  | VF/JP | {{ :courses:be4m33ssu:pac_seminar_ws2025_solutions_bugfix1.pdf | (with solutions)}} (there was an error in solution of Assignment 2c; bug fixed 2026-01-13) |  [[ https://cw.fel.cvut.cz/wiki/courses/be4m33ssu/homeworks/hw_generalization_bound | HW 2]] | 13.11.2025 |
|  4  | 16. 10. | **Seminar: VC dimension **  | VF/JP | {{ :courses:be4m33ssu:vc_ws2025_solution.pdf | (with solutions)}} | | /*, Assignment of {{ :courses:be4m33ssu:homeworks:hw_assignment_hist_cls.pdf | HW3}} */
|  5  | 23. 10. | **Seminar: Neural Networks ** | JD/JP | {{ :courses:be4m33ssu:ann_seminar_2025_solution.pdf | (with solutions) }} | |
|  6  | 30. 10. | //seminar cancelled// | |   | |
|  7  | 6. 11. |**Lab: Neural Networks**  | JD/JP | | [[ https://cw.fel.cvut.cz/wiki/courses/be4m33ssu/homeworks/neural_network | HW 3]] | 11.12.2025 | 
|  8  | 13. 11. | **Seminar: Support Vector Machines ** | VF/JP | {{ :courses:be4m33ssu:svm_ws2025_solution.pdf | (with solutions)}} | [[ https://cw.fel.cvut.cz/wiki/courses/be4m33ssu/homeworks/hw_kernel_perceptron | HW 4]]  | 18.12.2025 |
|  9  | 20. 11. | **Seminar: Ensembling ** | JD/JP | {{ :courses:be4m33ssu:seminar_ens_ws2025_solutions.pdf |(with solutions)}} | |
|  10  | 27. 11. | **Seminar: Gradient Boosting Machine**  | JD/JP |  | [[ https://cw.fel.cvut.cz/wiki/courses/be4m33ssu/homeworks/hw_ensembles | HW 5]] We will only discuss the GBM assignment from last week and assign the new HW. Jakub |
|  11  | 4. 12. | **Seminar: Generative learning, Maximum Likelihood estimator **  | VF/JP | {{ :courses:be4m33ssu:gener_sem_ws2025_solution.pdf | (with solutions)}}  |  [[https://cw.fel.cvut.cz/wiki/courses/be4m33ssu/homeworks/hw_maximum_likelihood | HW6 ]] | 1.1.2026|
|  12  | 11. 12. | ** Seminar: EM algoritm; Bayesian learning **  | VF/JP | {{ :courses:be4m33ssu:em-bayes-sem-ws2025.pdf | }} | [[https://cw.fel.cvut.cz/wiki/courses/be4m33ssu/homeworks/hw_em_prior_shift | HW7 ]] | 8.1.2026 |
|  13  | 18. 12. | seminar cancelled 🎁 |  |  |  |
|  14  | 8. 1.   | **Seminar: (Hidden) Markov Models ** | JD/JP | {{ :courses:be4m33ssu:seminar_hmm_solution_ws2025.pdf | (with solutions)}} | |