Introduction to Machine Learning: Class Notes 67577

Details Introduction to Machine Learning: Class Notes 67577 Introduction to Machine Learning: Class Notes 67577

2009-04-23

arxiv.org/abs/0904.3664v1

Computer Science

Learning

109 pages, class notes of Machine Learning course given at the Hebrew University of Jerusalem

Scientific paper

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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