Learning from Data
Yaser Abu-Mostafa, 2012
- The theory of machine learning
- Vapnik–Chervonenkis generalisation
- Bias and variance
- Regularisation and validation
- Linear models and feature transforms
In May 2026 I began a project to refamiliarise myself with some of the mathematics I haven’t touched since university. My intent is to get to grips with these subjects at the structural/conceptual level as much as the practical.
I’ve selected these courses to be interlocking, rigorous and free. You can assume that I strongly recommend any of the courses I’ve completed.
NB: This has been a chance to get back to writing Python, so I’ve linked repos where relevant. Lecture notes/problem sets are written by hand on a Remarkable2, then synced, compressed, and uploaded via cron job.
Current courses
Linear Algebra
Gilbert Strang, 2005
- Matrix operations and elimination
- Vector spaces and fundamental subspaces
- Orthogonality, determinants and matrix geometry
- Eigenvalues, eigenvectors and linear transforms
- Singular Value Decomposition