Download Introduction to Machine Learning pdf by Amnon Shashua, This book includes topics like: Bayesian Decision Theory, Maximum Likelihood/ Maximum Entropy Duality, EM Algorithm: ML over Mixture of Distributions, Support Vector Machines and Kernel Functions, Spectral Analysis I: PCA, LDA, CCA, Spectral Analysis II: Clustering, The Formal (PAC) Learning Model, The VC Dimension, The Double-Sampling Theorem. Download the pdf fro below to explore all topics and contents and start learning.