Introduction to Machine Learning: Class Notes 67577

23 Apr 2009 · Amnon Shashua ·

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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carsonzhu/Machine-learning-oriented

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BIG-bench Machine Learning

Clustering

PAC learning

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LDA

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Introduction to Machine Learning: Class Notes 67577

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