Interactive session, Monday March 31
- First part: Guest lecture by Benedikte Wallace: Modelling dance moves with machine learning
- Discussion of the weekly lecture topic: Unsupervised learning
Weekly lecture
Lecture slides:
Video recordings:
- Unsupervised Learning - Intro
- Learning how data are grouped
- Learning how to compress data
- Learning how to represent data in a lower dimension
- Learning how to generate similar data
Additional videos about PCA:
These videos about the foundations of PCA may be helpful for mandatory assignment 3...
- StatQuest: Principal Component Analysis (PCA), Step-by-Step
- The Meaning of Covariance Matrix and PCA
Readings:
Marsland Chapter 14.1, 6.2 (except 6.2.2) and 4.4.5