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.
| Lecture # | Date | Title | Slides | Recording |
|---|---|---|---|---|
| Lecture 01 | September 11 | Course organisation + Supervised learning (part I) | PDF, PDF | mp4 |
| Lecture 02 | September 18 | Supervised learning (part II) + Kahoot | mp4 | |
| Lecture 03 | September 25 | Unsupervised learning (part I) | mp4 | |
| Lecture 04 | October 2 | Unsupervised learning (part II) + Kahoot | mp4 | |
| Lecture 05 | October 9 | Deep learning (part I) | mp4 | |
| Lecture 06 | October 16 | Deep learning (part II) + Kahoot | mp4 | |
| Lecture 07 | October 23 | Regularisation methods (part I) | mp4 | |
| Lecture 08 | October 30 | Regularisation methods (part II) + Kahoot | mp4 | |
| Lecture 09 | November 6 | Ensemble learning (part I) | mp4 | |
| Lecture 10 | November 13 | Ensemble learning (part II) + Kahoot | mp4 | |
| Lecture 11 | November 20 - 22 | Intermediate project presentations (log into courses to see link) | ||
| Lecture 12 | November 27 | Performance metrics (part I) | mp4 | |
| Lecture 13 | December 4 | Performance metrics (part II) + Kahoot | mp4 | |
| Lecture 14 | December 11 | Guest talk: Roman Ring (Google DeepMind) | no recording | |
| Lecture 15 | December 18 - 20 | Final project presentations | ||