Papers › Introduction to Machine Learning: Class Notes 67577

Introduction to Machine Learning: Class Notes 67577

23 Apr 2009arXiv:0904.3664archive 2025-07-28

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 mentioned on GitHubMIT report

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BIG-bench Machine Learning Clustering PAC learning

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Methods

LDA

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