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

This book describes the important ideas 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 color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. Read More

This book describes the important ideas 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 color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. Read Less

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  	This is a digital edition of this title. Rent eBook (5 Options) 30 Day Rental: $26.70 (Expires May 31, 2024) 60 Day Rental: $35.60 (Expires Jun 30, 2024) 90 Day Rental: $44.50 (Expires Jul 30, 2024) 120 Day Rental: $53.40 (Expires Aug 29, 2024) 180 Day Rental: $57.85 (Expires Oct 28, 2024) Buy eBook Lifetime Access: $89.00 Title: The Elements of Statistical Learning by Trevor Hastie; Robert Tibshirani; Jerome Friedman Publisher: Springer Nature Print ISBN: 9780387952840, 0387952845 eText ISBN: 9780387216065 Edition: 2003 Format: PDF eBook	$26.70 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ