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 5 | Course organisation + Supervised learning (part I) | PDF, PDF | mp4 |
| Lecture 02 | September 12 | Supervised learning (part II) + Kahoot | mp4 | |
| Lecture 03 | September 19 | Unsupervised learning (part I) | mp4 | |
| Lecture 04 | September 26 | Unsupervised learning (part II) + Kahoot | mp4 | |
| Lecture 05 | October 3 | Deep learning (part I) | mp4 | |
| Lecture 06 | October 10 | Deep learning (part II) + Kahoot | mp4 | |
| Lecture 07 | October 17 | Regularisation methods (part I) | mp4 | |
| Lecture 08 | October 24 | Regularisation methods (part II) + Kahoot | mp4 | |
| Lecture 09 | October 31 | Ensemble learning (part I) | mp4 | |
| Lecture 10 | November 7 | Ensemble learning (part II) + Kahoot | mp4 | |
| Lecture 11 | November 14 - 16 | Intermediate project presentations | ||
| Lecture 12 | November 21 | Performance metrics (part I) | mp4 | |
| Lecture 13 | November 28 | Performance metrics (part II) + Kahoot | mp4 | |
| Lecture 14 | December 5 | Guest talk: Machine learning for musical data (Anna Aljanaki) | mp4 | |
| Lecture 15 | December 12 - 14 | Final project presentations TBA | ||
Guest talk: Machine learning for musical data (Anna Aljanaki)
Music information retrieval is an area of applied machine learning, that both has practical applications (streaming services, production music catalogues) and has a suitable complexity and amount of unsolved problems to serve as benchmarking playground for SOTA AI from NLP, image processing and other domains. In the lecture we will look at a range of practical applications in MIR field in music categorization, recommendation, generation, OMR, and look closely at how SOTA NLP is applied to music