Lectures
Zoom link to lectures: (log into courses to see link)
Lectures are held every week on Monday at 10:15 in room 1037.
The following schedule is subject to change. Keep an eye on our Slack channel for updates!
Lecture # | Date | Title | Slides | Recording |
---|---|---|---|---|
Lecture 01 | September 8 | Course organisation + Supervised learning (part I) | PDF, PDF | mp4 |
Lecture 02 | September 15 | Supervised learning (part II) + Kahoot | mp4 | |
Lecture 03 | September 22 | Unsupervised learning (part I) | ||
Lecture 04 | September 29 | Unsupervised learning (part II) + Kahoot | ||
Lecture 05 | October 6 | Deep learning (part I) | ||
Lecture 06 | October 13 | Deep learning (part II) + Kahoot | ||
Lecture 07 | October 20 | Regularisation methods (part I) | ||
Lecture 08 | October 27 | Regularisation methods (part II) + Kahoot | ||
Lecture 09 | November 3 | Ensemble learning (part I) | ||
Lecture 10 | November 10 | Ensemble learning (part II) + Kahoot | ||
Lecture 11 | November 17–19 | Intermediate project presentations | ||
Lecture 12 | November 24 | Performance metrics (part I) | ||
Lecture 13 | December 1 | Performance metrics (part II) + Kahoot | ||
Lecture 14 | December 8 | Guest Lecture | ||
Lecture 15 | December 15–17 | Final project presentations |
Guest talk
- Guest talk in 2025: TBA
- Guest talk in 2024: by Pipedrive
- Guest talk in 2023: Roman Ring (Google DeepMind)
- Guest talk in 2022: Machine learning for musical data by Anna Aljanaki from the University of Tartu. The recording.
- Guest talk in 2021: Reinforcement Learning by Ilya Kuzovkin from OffWorld. Slides and the recording.