Shared references
Books, playlists, and tools useful across multiple lecture series. Course-specific lists stay under each course (e.g. MFML references).
Foundations
| Resource | Why |
|---|---|
| Mathematics for Machine Learning (Deisenroth et al.) — free PDF | Linear algebra, calculus, probability refresh |
| First course notes on probability (any solid undergrad text) | Sample space, RV, distributions, densities |
Tools
| Tool | Use |
|---|---|
| Quarto | This notes site |
| Python + NumPy / Matplotlib | Tutorials |
| Jupyter / Quarto notebooks | Hands-on lecture demos |
Playlists & courses (future slots)
- Mathematical Foundations of Generative Models / GenAI (Prathosh) — add when you start that series