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The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics)
Published by Springer (edition 1st ed. 2001. Corr. 3rd printing), 2003
ISBN 10: 0387952845 ISBN 13: 9780387952840
Language: English
Hardcover. Condition: Very Good. 1st ed. 2001. Corr. 3rd printing. 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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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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Hardcover. Condition: Very Good. VERY GOOD hardcover, no marks in text; a clean, gently used copy. Book.
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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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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
Published by Springer
hardcover. Condition: VeryGood. Page/Cover Damage, A copy that may have been read, very minimal wear and tear. May have a remainder mark.
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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: acceptable. Fairly worn, but readable and intact. If applicable: Dust jacket, disc or access code may not be included.
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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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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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International EditionSoft 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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Condition: New.
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£ 66.26
Convert currencyFree shipping from Australia to U.S.A.Quantity: 10 available
Add to basketBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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£ 60.79
Convert currency£ 6 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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Condition: New. SUPER FAST SHIPPING.
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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
£ 57.67
Convert currency£ 15 shipping from United Kingdom to U.S.A.Quantity: 6 available
Add to basketCondition: New.
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 62.63
Convert currency£ 11.98 shipping from United Kingdom to U.S.A.Quantity: 16 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, 2Nd Edn
Published by Springer, 2009
Language: English
Hardcover. Condition: New. ISBN:9780387848570.
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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
£ 66.19
Convert currency£ 15 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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£ 46.42
Convert currency£ 36.62 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketCondition: Very Good.
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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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£ 46.70
Convert currency£ 39.24 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketCondition: as new. Wie neu/Like new.
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£ 46.70
Convert currency£ 39.24 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketCondition: 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.
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£ 46.70
Convert currency£ 39.24 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketCondition: 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.
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Condition: As New. Unread book in perfect condition.
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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. 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 and 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.
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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
£ 106.49
Convert currencyFree shipping from United Kingdom to U.S.A.Quantity: 9 available
Add to basketHardback. Condition: New. Second Edition 2009. 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 and 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.
