The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)


Super Savings Item! Save 37% on the The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) by Springer at SADC Network. MPN: 25645136. Hurry! Limited time offer. Offer valid only while supplies last. 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 Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) by Springer
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Product Description & Reviews

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.

Features & Highlights

  • This refurbished product is tested and certified to work properly. The product will have minor blemishes and/or light scratches. The refurbishing process includes functionality testing, basic cleaning, inspection, and repackaging. The product ships with all relevant accessories, and may arrive in a generic box.

Additional Information

Brand:
Springer
Manufacturer:
Springer
Category:
Mathematics
Color:
red
MPN:
25645136
Release Date:
2017-04-21
EAN:
9780387848570
ISBN:
0387848576
Edition:
2nd
Part Number:
25645136
Author:
Array
Publisher:
Springer
Publication Date:
2016
Binding:
Hardcover
Item Weight:
3.1 pounds
Item Size:
6 x 1.4 x 9.3 inches
Package Weight:
2.65 pounds
Package Size:
6.3 x 1.5 x 9.29 inches

 


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