关于统计学习入门书籍，很经典！ T. Hastie, R. Tibshirani, J. Friedman, “The Elements of statistical Learning: Data Mining, Inference, and Prediction”, 2001, Springer-Verlag
This book is aimed at senior undergraduates and graduate students in Engi- neering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and linear algebra as taught in a rst- or second- year undergraduate c
机器学方面一本很新， 很全面的书。 pdf超好。 彩版的。 Chapter What’s new 1. Introduction 2. Overview of Supervised Learning 3. Linear Methods for Regression LAR algorithm and generalizations of the lasso 4. Linear Methods for Classification Lasso path for logistic regressi
