The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
Hastie, Trevor
ISBN 10: 0387848576 ISBN 13: 9780387848570
Published by Springer, 2009
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hardcover
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Textbooks_Source, Columbia, MO, U.S.A.
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About this Item
Description:
Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Seller Inventory # 000928413U
Synopsis:
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.
About the Author:
Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: The Elements of Statistical Learning: Data ...
Publisher: Springer
Publication Date: 2009
Binding: hardcover
Condition: Good
Edition: Second Edition 2009.
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
Published by
Springer (edition Second Edition 2009), 2009
ISBN 10: 0387848576
ISBN 13: 9780387848570
Used
Hardcover
Seller: BooksRun, Philadelphia, PA, U.S.A.
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Hardcover. Condition: Good. Second Edition 2009. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. Seller Inventory # 0387848576-11-1
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Elements of Statistical Learning Data Mining, Inference, and Prediction
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
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Condition: Good. Wraps are firm, text block clean, without highlights/underlining or markings. Some rubbing/curling to wraps. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped. Seller Inventory # 1LAUHV0032CJ
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
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hardcover. Condition: Very Good. Item is gently used and does not show any significant wear. Seller Inventory # M08034B15057U
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Elements of Statistical Learning Data Mining, Inference, and Prediction
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Condition: Good. Hardcover. NOT Ex-library. This item is in good condition. May show moderate signs of use. Previous owners name inside. Until further notice, USPS Priority Mail only reliable option for Hawaii. Proceeds benefit the Pima County Public Library system, which serves Tucson and southern Arizona. Seller Inventory # 529UHD000EZ9
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd edition
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Soft cover. Condition: New. Dust Jacket Condition: New. International Edition. **INTERNATIONAL EDITION** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments go through via USPS/UPS/DHL with tracking numbers. Great professional textbook selling experience and expedite shipping service. Seller Inventory # ABE-14952918404
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Spring
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The Elements of Statistical Learning Springer Series in Statistics
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Condition: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present. Seller Inventory # M00387848576-G
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The Elements of Statistical Learning Springer Series in Statistics
Seller: medimops, Berlin, Germany
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Condition: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. Seller Inventory # M00387848576-V