Introduction to Machine Learning: Class Notes 67577
Machine Learning
2009-04-24 v1
Abstract
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).
Cite
@article{arxiv.0904.3664,
title = {Introduction to Machine Learning: Class Notes 67577},
author = {Amnon Shashua},
journal= {arXiv preprint arXiv:0904.3664},
year = {2009}
}
Comments
109 pages, class notes of Machine Learning course given at the Hebrew University of Jerusalem