Sophia-11/Machine-Learning-Notes
Hand-written notes covering formulas and derivations from Zhou Zhihua's classic ML textbook across 16 chapters.
★3.8k stars Learning

Velocity · 7d
+1.5
★ / day
Trend
→steady
star history
This repository contains handwritten-style study notes for Zhou Zhihua’s widely-used machine learning textbook (the ‘Watermelon Book’). It covers 16 chapters including neural networks, support vector machines, Bayesian classifiers, ensemble methods, clustering, dimensionality reduction, semi-supervised learning, and probability graphical models. The notes focus on formula derivations and are presented as printable A4 pages.