Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition

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

Hastie, Trevor
Friedman, Jerome
Tibshirani, Robert

Hardcover

Series: Springer Statistics

DatabasesGeneral ScienceProbability & Statistics

Currently unavailable to order

ISBN10: 0387848576
ISBN13: 9780387848570
Publisher: Springer
Published: Feb 9 2009
Pages: 745
Weight: 2.75
Height: 1.42 Width: 5.91 Depth: 9.29
Language: English

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.

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