Lectures
Zoom link to lectures: (log into courses to see link)
(lectures are held every week on Monday at 10:15)
| Lecture # | Date | Title | Slides | Recording |
|---|---|---|---|---|
| Lecture 01 | September 6 | Course organisation + Supervised learning (part I) | PDF, PDF | mp4 |
| Lecture 02 | September 13 | Supervised learning (part II) + Kahoot | mp4 | |
| Lecture 03 | September 20 | Unsupervised learning (part I) | mp4 | |
| Lecture 04 | September 27 | Unsupervised learning (part II) + Kahoot | mp4 | |
| Lecture 05 | October 4 | Deep learning (part I) | mp4 | |
| Lecture 06 | October 11 | Deep learning (part II) + Kahoot | mp4 | |
| Lecture 07 | October 18 | Regularisation methods (part I) | mp4 | |
| Lecture 08 | October 25 | Regularisation methods (part II) + Kahoot | mp4 | |
| Lecture 09 | November 1 | Ensemble learning (part I) | mp4 | |
| Lecture 10 | November 8 | Ensemble learning (part II) + Kahoot | mp4 | |
| Lecture 11 | November 15 | Intermediate project presentations | ||
| Lecture 12 | November 22 | Performance metrics (part I) | mp4 | |
| Lecture 13 | November 29 | Performance metrics (part II) + Kahoot | mp4 | |
| Lecture 14 | December 6 | Reinforcement Learning by Ilya Kuzovkin from OffWorld | mp4 | |
| Lecture 15 | December 13 | Final project presentations | ||
This schedule is subject to change.