Companion notes for MA4802: Statistical Learning (stat-learning.tex). The script expands on the slides with definitions, proofs, and additional examples.
| File | Purpose |
|---|---|
stat-learning.tex |
Main LaTeX source |
paperslibrary.bib |
Bibliography |
images/ |
Script-specific figures (slides use Lecture/Images/ separately) |
PDF (recommended for reading):
make scriptOutput: Script/stat-learning.pdf (~120 pages).
Source: open stat-learning.tex in any editor. Shared macros and document class live in style/.
The script is organized by topic rather than by calendar week. Use the lecture README in each Lecture/LectureN/ folder for the recommended reading order alongside slides and exercises.
| Lectures | Script topics (approximate) |
|---|---|
| 1-2 | Introduction, supervised learning, kNN, trees |
| 3-5 | Linear models, optimization, classification |
| 6-7 | Neural networks, CNNs, generative vs discriminative |
| 8-9 | Mixture models, EM, PCA, autoencoders |
| 10-11 | VAEs, GANs, graphical models, causality |
Script figures are in Script/images/. Slide figures are centralized in Lecture/Images/. Some PCA and ICA illustrations are shared between both.