Study program: 122 Computer Science

Degree: Bachelor

Type of module: lectures, practical work

Lecturer: Senior Lecturer, PhD Oleksandra Putiatina

Language: English

Credit Points: 5 ECTS

Description:
1. Introduction. Aims and task of the course.
2. Introduction. Decision making theory.
3. Linear regression models.
4. Methods of linear classification.
5. Feature extraction.
6. Neural networks.
7. Neural networks parameter optimization.
8. Kernel methods.
9. Sparse kernel methods.
10. Graph methods.
11. Mixture of distributions and the EM-algorithm.
12.Maximum likelihood methods.
13.Continuous latent variables.
14. Probabilistic PCA method.
15. Sequential data.