『統計的学習の基礎:データマイニング・推論・予測』(原書)第2版
The Elements of Statistical Learning
Data Mining, Inference, and Prediction
Springer Series in Statistics
Hastie, Trevor
Tibshirani, Robert
Friedman, Jerome H.
- 出版社:Springer
- 出版年月:2009年 11月
- ISBN:9780387848570
- 装丁:HRD
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装丁について
- 言語:ENG
- 版次:2ND
- 巻数・ページ数:745 p.
- 分類: 確率・統計
- DDC分類:519
- 内容紹介:
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邦訳:2014年・共立出版。Topics include neural networks, support vector machines, classification trees and boosting - the first comprehensive treatment of this topic in any book : Includes over 200 pages of four-color graphics. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression and path algorithms for the lasso, non-negative matrix factorization, and spectral clustering.