The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition

Computers & Technology

Trevor Hastie

Robert Tibshirani

Jerome Friedman

Computer Science

Springer

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics Book 103)

Gareth James

Daniela Witten

An Introduction to Statistical Learning

Jonathan Taylor

Springer Nature

<p>This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression &amp; path algorithms for the lasso, non-negative matrix factorization and spectral clustering. There is also a chapter on methods for ``wide'' data (p bigger than n), including multiple testing and false discovery rates.</p>

统计学习基础(第2版)(英文)

世界图书出版公司

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Books by Robert Tibshirani