The elements of statistical learning : data mining, inference, and prediction
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the fiel...
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| Auteurs principaux: | , , |
|---|---|
| 格式: | Livre numérique |
| 語言: | Anglais |
| 出版: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| 版: | 2nd edition. |
| 叢編: | Springer Series in Statistics
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| 主題: | |
| 在線閱讀: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 提示: |
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| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • The elements of statistical learning, data mining, inference, and prediction, Trevor Hastie, Robert Tibshirani, Jerome Friedman, 2nd edition, corrected at 5th printing, 2011, New York (N.Y.), Springer, 1 vol. (XXII- 745 p.), Springer series in statistics, 978-0-387-84857-0 • The Elements of Statistical Learning, Texte imprimé, 9780387848846 • The Elements of Statistical Learning, Texte imprimé, 9780387848570 • The Elements of Statistical Learning, Texte imprimé, 9781071621226 |