Introduction to Machine Learning by Amnon Shashua
Publisher: arXiv 2009
Number of pages: 109
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).
Computers & Internet Computer Science Artificial Intelligence Machine Learning