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The Elements of Statistical Learning

By Trevor Hastie

Product Image: The Elements of Statistical Learning

The Elements of Statistical Learning

Only 1 item left in stock
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.
Product details
Edition:
2
Number of Pages:
745
Release Date:
2009-02-09
Publication Date:
2009-02-09
Publisher:
Springer New York
Languages:
Original: English
ISBN10:
0387848576
ISBN13:
9780387848570
GPSR Manufacturer Reference:
[email protected]
Minimum Reading Age:
10
Maximum Reading Age:
80
Weight:
1200 g
Height:
160 cm
Width:
241 cm
Thickness:
44 cm

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The items bear minimal signs of past use, such as light scratches or memories in the form of markings. These signs of wear give the items a charming character and tell stories of their previous owners, while not affecting their functionality.
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