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Friedman, Jerome,tibshirani, Robert,hastie, Trevor (27 results)
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hardcover. Condition: As New. Book is in excellent condition, text is unmarked and pages are tight.
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Condition: Good. Used book that is in clean, average condition without any missing pages.
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Elements of Statistical Learning Data Mining, Inference, and Prediction
Seller: Friends of Pima County Public Library, Tucson, AZ, U.S.A.
Seller rating 5 out of 5 stars
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.
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Condition: acceptable. Fairly worn, but readable and intact. If applicable: Dust jacket, disc or access code may not be included.
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Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics)
First Edition
Hardcover. Condition: Poor. No Jacket. First Edition. Hardcover edition in Poor condition. 5th printing. The bottom center of the covers are show heavy wear exposing the boards. Corners are bumped. Spine ends crushed. The binding is in good shape but the book is slightly rolled backwards. Small abrasion to the front flyleaf. The interior pages are heavily creased at the front edge. Feel free to contact me for pictures. The book will be carefully packaged for shipment for protection from the elements. USPS electronic tracking number issued free of charge.
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Condition: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
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Condition: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.
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International EditionUS$ 49.95
Convert currencyUS$ 9.99 shipping within U.S.A.Quantity: Over 20 available
Add to basketSoft 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.
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
Published by Springer
hardcover. Condition: LikeNew. Pages are New and Unused, Front or Back cover is damaged- torn, wrinkled or dented., Used Like New, no missing pages, no damage to binding, may have a remainder mark.
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US$ 79.29
Convert currencyUS$ 2.64 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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US$ 39.05
Convert currencyUS$ 48.72 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketCondition: Very Good.
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US$ 83.96
Convert currencyUS$ 8.02 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: good. A good reading copy. May contain markings or be a withdrawn library copy.
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US$ 89.34
Convert currencyUS$ 2.64 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 86.22
Convert currencyUS$ 16.01 shipping from United Kingdom to U.S.A.Quantity: 9 available
Add to basketCondition: New. In.
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Condition: New.
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Condition: New.
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Elements of Statistical Learning : Data Mining, Inference, and Prediction
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 86.14
Convert currencyUS$ 20.05 shipping from United Kingdom to U.S.A.Quantity: 6 available
Add to basketCondition: New.
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Elements of Statistical Learning : Data Mining, Inference, and Prediction
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 91.13
Convert currencyUS$ 20.05 shipping from United Kingdom to U.S.A.Quantity: 6 available
Add to basketCondition: As New. Unread book in perfect condition.
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Elements of Statistical Learning: Data Mining Inference And Prediction, 2Nd Edn
Published by Springer, 2009
Language: English
US$ 84.50
Convert currencyUS$ 24.36 shipping from India to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: New. ISBN:9780387848570.
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Paperback. Condition: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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The Elements of Statistical Learning
Published by Springer-Verlag New York Inc., US, 2009
ISBN 10: 0387848576 ISBN 13: 9780387848570
Language: English
Hardback. Condition: New. Second Edition 2009.
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The Elements of Statistical Learning
Published by Springer-Verlag New York Inc., US, 2009
ISBN 10: 0387848576 ISBN 13: 9780387848570
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
US$ 137.54
Convert currencyFree shipping from United Kingdom to U.S.A.Quantity: 5 available
Add to basketHardback. Condition: New. Second Edition 2009.
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US$ 84.69
Convert currencyUS$ 56.83 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. The many topics include neural networks, support vector machines, classification trees and boosting - the first comprehensive treatment of this topic in any book Includes over 200 pages of four-color graphicsThe many topics include neur.
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THE ELEMENTS OF STATISTICAL LEARNING: DATA MINING, INFERENCE, AND PREDICTION
Published by Springer, 2002
ISBN 10: 0387952845 ISBN 13: 9780387952840
Seller: Stella & Rose's Books, PBFA, Tintern, MON, United Kingdom
Association Member: PBFA
Seller rating 5 out of 5 stars
US$ 50.59
Convert currencyUS$ 25.39 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardback. Condition: Very Good. No Jacket. 2002. Very good condition with no wrapper. Springer Series in Statistics. Data mininbg, machine learning, and bioinformatics. This book describes the important ideas in these areas 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. Matt yellow and brown boards. xvi and 533 pages including index. 2nd printing. Boards lightly scuffed and marked. Text block a little grubby. Name in ink to top edge of front endpaper. Contents clean. Packaged with care and promptly dispatched!
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The Elements of Statistical Learning
Published by Springer-Verlag New York Inc., US, 2009
ISBN 10: 0387848576 ISBN 13: 9780387848570
Language: English
Hardback. Condition: New. Second Edition 2009.
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The Elements of Statistical Learning: Data Mining, Inference and Prediction (Reprint)
Published by Springer, 2017
US$ 66.00
Convert currencyUS$ 20.30 shipping from India to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: New. 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.
