
- Hastie, Trevor
- Tibshirani, Robert
- Friedman, Jerome H.
The Elements of Statistical Learning
- Data Mining, Inference, and Prediction
- Gebunden,
- New ed.,
- Springer, Berlin
- (2009)
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This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learnin ...
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DETAILS
- The Elements of Statistical Learning
- Data Mining, Inference, and Prediction
- Hastie, Trevor, Tibshirani, Robert, Friedman, Jerome H.
- Gebunden, xxii, 745 S.
- XXII, 745 p. 658 illus., 604 illus. in color.
- Sprache: Englisch
- 235 mm
- ISBN-13: 978-0-387-84857-0
- Titelnr.: 10095214
- Gewicht: 1194 g
- Springer, Berlin (2009)
Herstelleradresse
Springer Heidelberg
Tiergartenstr. 17
69121 - DE Heidelberg
E-Mail: buchhandel-buch@springer.com
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