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 9 | Course organisation + Supervised learning (part I) | PDF, PDF | mp4 |
| Lecture 02 | September 16 | Supervised learning (part II) + Kahoot | mp4 | |
| Lecture 03 | September 23 | Unsupervised learning (part I) | mp4 | |
| Lecture 04 | September 30 | Unsupervised learning (part II) + Kahoot | mp4 | |
| Lecture 05 | October 7 | Deep learning (part I) | mp4 | |
| Lecture 06 | October 14 | Deep learning (part II) + Kahoot | mp4 | |
| Lecture 07 | October 21 | Regularisation methods (part I) | mp4 | |
| Lecture 08 | October 28 | Regularisation methods (part II) + Kahoot | mp4 | |
| Lecture 09 | November 4 | Ensemble learning (part I) | mp4 | |
| Lecture 10 | November 11 | Ensemble learning (part II) + Kahoot | mp4 | |
| Lecture 11 | November 18 - 20 | Intermediate project presentations (log into courses to see link) | ||
| Lecture 12 | November 25 | Performance metrics (part I) | mp4 | |
| Lecture 13 | December 2 | Performance metrics (part II) + Kahoot | mp4 | |
| Lecture 14 | December 9 | Pipedrive Guest Lecture | mp4 | |
| Lecture 15 | December 16 - 18 | Final project presentations | Monday | |