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ISBN10: 0387848576, ISBN13: 9780387848570, [publisher: Springer] Hardcover Book may contain some writing, highlighting, and or cover damage. Shipped fast and reliably! [Phoenix, AZ, U.S.A.] [Publication Year: 2009]
ISBN10: 0387848576, ISBN13: 9780387848570, [publisher: Springer] Hardcover Book may contain some writing, highlighting, and or cover damage. Shipped fast and reliably! [Phoenix, AZ, U.S.A.] [Publication Year: 2009]
ISBN10: 0387848576, ISBN13: 9780387848570, [publisher: Springer-Verlag New York Inc. Feb 2009] Hardcover Neuware - This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketingin 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 isa 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. [Einbeck, Germany] [Publication Year: ...
ISBN10: 0387848576, ISBN13: 9780387848570, [publisher: Springer-Verlag New York Inc. Feb 2009] Hardcover Neuware - This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketingin 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 isa 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. [Einbeck, Germany] [Publication Year: ...
Hastie, Trevor, and Tibshirani, Robert, and Friedman, Jerome
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New York, NY Springer 2009 2nd, INTERNATIONAL EDITION Trade paperback New in new dust jacket. Sewn binding. Cloth over boards. 745 p. Contains: Illustrations, black & white. Springer Series in Statistics. Audience: General/trade. ***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 contain tracking numbers. Great professional textbook selling experience and expedite shipping service.
New York, NY Springer 2009-02-01 2nd 2009, Corr. 9th Hardcover Very Good Sewn binding. Cloth over boards. 745 p. Contains: Illustrations, black & white.
Hastie, Trevor, and Tibshirani, Robert, and Friedman, Jerome
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New York, NY Springer 2009 2nd 2009, Corr. 9th Printing 2017 ed. Hard cover New. Sewn binding. Cloth over boards. 745 p. Contains: Illustrations, black & white, Illustrations, color. Springer Statistics.
ISBN10: 0387848576, ISBN13: 9780387848570, [publisher: Springer-Verlag New York Inc., New York, NY] Hardcover Hardcover. 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. This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world. Shipping may be from our Sydney, NSW warehouse or from ...
Springer 2/1/2009 2nd 2009, Corr. 9th Printing 2017 ed. Hardback or Cased Book New in New jacket The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Hardback or Cased Book)
ISBN10: 0387848576, ISBN13: 9780387848570, [publisher: Springer New York 2009-03-03, New York] Hardcover Language: ENG [London, United Kingdom] [Publication Year: 2009]
ISBN10: 0387848576, ISBN13: 9780387848570, [publisher: Springer New York 2009-03-03, New York] Hardcover Language: ENG [London, United Kingdom] [Publication Year: 2009]
INTERNATIONAL EDITION*** 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.Great professional textbook selling experience and expedite shipping service. Date: 2011. Springer ISBN 0387848576 9780387848570 [IN]
ISBN10: 0387848576, ISBN13: 9780387848570, [publisher: Springer] Hardcover Good condition. This is the average used book, that has all pages or leaves present, but may include writing. Book may be ex-library with stamps and stickers. [Tucson, AZ, U.S.A.] [Publication Year: 2009]
Springer 2016-01-01 2nd 2009, Corr. 9th Printing 2017 ed. Hardcover Good USED-VARIOUS AMOUNTS OF WEAR-POSSIBLE HIGHLIGHTS-WE CANNOT GUARANTEE SUPPLEMENTS SUCH AS CD, ACCESS CODE, OR INFO TRAC.
Springer New York 2/9/2009 12: 00: 00 AM 2nd ed. 2009 Hardcover PLEASE NOTE, WE DO NOT SHIP TO DENMARK. New Book from multilingual publisher. Shipped from UK within 4 to 14 days. Please check language within the description.
Hastie, Trevor, and Tibshirani, Robert, and Friedman, Jerome
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New York, NY Springer 2009 2nd 2009, Corr. 9th Printing 2017 ed. Hard cover New. Sewn binding. Cloth over boards. 745 p. Contains: Illustrations, black & white, Illustrations, color. Springer Statistics.
ISBN10: 0387848576, ISBN13: 9780387848570, [publisher: Springer-Verlag New York Inc. Feb 2009] Hardcover Neuware -This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketingin 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 isa 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. 745 pp. Deutsch [Bergisch Gladbach, Germany] [Publication Year: ...
Hastie, Trevor, and Tibshirani, Robert, and Friedman, Jerome
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New York, NY Springer 2009 2nd 2009, Corr. 9th Printing 2017 ed. Hard cover Very good. No dust jacket. Sewn binding. Cloth over boards. 745 p. Contains: Illustrations, black & white. Springer Series in Statistics. Audience: General/trade.
Hastie, Trevor, and Tibshirani, Robert, and Friedman, Jerome
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New York, NY Springer 2009 2nd 2009, Corr. 9th Printing 2017 ed. Hard cover FINE + Sewn binding. Cloth over boards. 745 p. Contains: Illustrations, black & white, Illustrations, color. Springer Statistics. Audience: General/trade. Ship on Same Day Fast Delivery Delivery with in 5-8 working day Only.
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New York, NY Springer 2009 2nd 2009. Corr. INTERNATIONAL EDITION Trade paperback New in new dust jacket. Sewn binding. Cloth over boards. 745 p. Contains: Illustrations, black & white, Illustrations, color. Springer Series in Statistics. Audience: General/trade. 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. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service.
ISBN10: 0387848576, ISBN13: 9780387848570, [publisher: Springer] Hardcover New. Fast Shipping and good customer service [Fayetteville, TX, U.S.A.] [Publication Year: 2009]
Hastie, Trevor, and Tibshirani, Robert, and Friedman, Jerome
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New York, NY Springer 2009 2nd 2009, Corr. 9th Printing 2017 ed. Hard cover Good. Sewn binding. Cloth over boards. 745 p. Contains: Illustrations, black & white, Illustrations, color. Springer Statistics. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Original Hardcover. Publisher: Springer International Publish | Utg. 2009 | Original Hardcover | 745 p. | This book is like new. | Series: Springer series in statistics | Language: Engelska --- Information regarding the book: 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. | We have this book in our store house - please allow for a couple of extra days for delivery. ISBN 0387848576 9780387848570 [SE]
Springer 2016 2nd 2009, Corr. 9th Printing 2017 ed. Hardcover 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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