An Introduction to Statistical Learning
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
A broad, applied introduction to statistical learning: linear and logistic regression, resampling, regularization, trees and ensembles, support vector machines, and unsupervised learning, with lab exercises in R and Python.
Machine LearningIntermediateOfficial Free DistributionPDF
