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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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Bibliographic Detail
Publisher Springer Verlag
Publication date December 1, 2008
Pages 745
Binding Hardcover
Edition 2
Book category Adult Non-Fiction
ISBN-13 9780387848570
ISBN-10 0387848576
Dimensions 1.25 by 6.25 by 9.25 in.
Weight 3.10 lbs.
Original list price $89.95
Other format details sci/tech
Summaries and Reviews
Amazon.com description: Product Description:

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 learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book.

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



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Hardcover
Book cover for 9780387848570
 
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With Robert Tibshirani, Trevor Hastie | 2 edition from Springer Verlag (December 1, 2008)
9780387848570 | details & prices | 745 pages | 6.25 × 9.25 × 1.25 in. | 3.10 lbs | List price $89.95
About: This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework.

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