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The Elements of Statistical Learning by Jerome Friedman NEW Hardback

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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Title
The Elements Of Statistical Learning
Weight
1492
EAN
9780387848570
ISBN-10
0387848576
Date of Publication
20170421
Place of Publication
United States
Book Series
Springer Series In Statistics
Genre
PBT|PS|PSA|UNF|UYQ
Narrative Type
N/A
Features
2nd Ed. 2009, Corr. 9th Printing 2017
Intended Audience
N/A
Ex Libris
No
Editor
N/A
Edition
2nd Ed. 2009, Corr. 9th Printing 2017
Pagination
745 Pages, 604 Illustrations, Color; 54 Illustrations, Black And
Dimensions
242 X 164 X 37
ISBN
9780387848570
Publication Year
2017
Type
Textbook
Format
Hardcover
Language
English
Publication Name
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Item Height
235 mm
Author
Trevor Hastie, Jerome Friedman, Robert Tibshirani
Publisher
Springer-Verlag New York Inc.
Subject
Medicine, Engineering & Technology, Computer Science, Biology, Mathematics
Item Weight
1451 g
Item Width
155 mm
Number of Pages
745 Pages

About this product

Product Information

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 Identifiers

Publisher
Springer-Verlag New York Inc.
ISBN-13
9780387848570
eBay Product ID (ePID)
91520270

Product Key Features

Number of Pages
745 Pages
Publication Name
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Language
English
Subject
Medicine, Engineering & Technology, Computer Science, Biology, Mathematics
Publication Year
2017
Type
Textbook
Author
Trevor Hastie, Jerome Friedman, Robert Tibshirani
Format
Hardcover

Dimensions

Item Height
235 mm
Item Weight
1451 g
Item Width
155 mm

Additional Product Features

Country/Region of Manufacture
United States
Title_Author
Trevor Hastie, Robert Tibshirani, Jerome Friedman

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  • Good book

    It's good but difficult. Consider Introduction to SL as well.

    Verified purchase: YesCondition: NewSold by: speedyhenuk

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    Book sold as advertised

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    amazing

    Verified purchase: YesCondition: Pre-ownedSold by: webuybooks