好书分享,  统计编程类书籍的经典
出版社:   Springer
           作者: Gareth James
Department of Information and
Operations Management
University of Southern California
Los Angeles, CA, USA
Daniela Witten
Department of Biostatistics
University of Washington
Seattle, WA, USA

Trevor Hastie
Department of Statistics
Stanford University
Stanford, CA, USA


Robert Tibshirani
Department of Statistics
Stanford University
Stanford, CA, USA

1 Introduction 1
2 Statistical Learning
3 Linear Regression
4 Classification
5 Resampling Methods
6 Linear Model Selection and Regularization
7 Moving Beyond Linearity
8 Tree-Based Methods
9 Support Vector Machines
10 Unsupervised Learning