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Introduction to Machine Learning
Introduction to Machine Learning
Date: 19 January 2011, 06:19

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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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