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Sophia-11/Machine-Learning-Notes

Hand-written notes covering formulas and derivations from Zhou Zhihua's classic ML textbook across 16 chapters.

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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.

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