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arXiv · 0904.3664

Introduction to Machine Learning: Class Notes 67577

Amnon Shashua
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Abstract

Introduction to Machine learning covering Statistical Inference (Bayes, EM, ML/MaxEnt duality), algebraic and spectral methods (PCA, LDA, CCA, Clustering), and PAC learning (the Formal model, VC dimension, Double Sampling theorem).

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Amnon Shashua. 2009-04-23. Introduction to Machine Learning: Class Notes 67577. https://arxiv.org/abs/0904.3664

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