Timetable
| Lecture | Practice | Bonus homework | ||
|---|---|---|---|---|
| 11.02.2025 | Lecture 1: Introduction. (Lecture 1 slides) (Lecture 1 recording) | 12.02.2025 13.02.2025 | No practice sessions this week. We encourage you to start setting up your environment. Take a look at these sources and download Anaconda: Install Anaconda Python Numpy Tutorial IPython Tutorial | - |
| 18.02.2025 | Lecture 2: Probability and information theory. (Lecture 2 slides) (Book chapter) | 19.02.2024 20.02.2024 | Practice 1: K-nearest neighbor classifier. (Background material) Homework 1 HW1 deadline : 26.02.2024 at 23:59. | - |
NB!: there will be no practice sessions in the first week, as shown in the table. They will start on week 2.