Introduction to Machine Learning: Class Notes 67577

Authors: Amnon Shashua

arXiv: 0904.3664v1 - DOI (cs.LG)
109 pages, class notes of Machine Learning course given at the Hebrew University of Jerusalem
License: NONEXCLUSIVE-DISTRIB 1.0

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).

Submitted to arXiv on 23 Apr. 2009

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