9780387848570 - the elements of statistical learning: data mining, inference, and prediction di hastie, trevor; tibshirani, robert; friedman, jerome (38 risultati)
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Da: HPB-Red, Dallas, TX, U.S.A.HPB-Red
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Hardcover. Condizione: 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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Da: clickgoodwillbooks, Indianapolis, IN, U.S.A.clickgoodwillbooks
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EUR 25,55
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Condizione: acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may be missing bundled media.
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Da: BooksRun, Philadelphia, PA, U.S.A.BooksRun
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EUR 33,01
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Hardcover. Condizione: Very Good. Second Edition 2009. 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.
The Elements of Statistical Learning : Data Mining, Inference, and Prediction
Hastie, Trevor, Tibshirani, Robert, Friedman, Jerome, Friedman, J. H.
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Da: Better World Books, Mishawaka, IN, U.S.A.Better World Books
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EUR 33,66
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Condizione: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Da: Goodwill Books, Hillsboro, OR, U.S.A.Goodwill Books
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EUR 31,73
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Condizione: good. Signs of wear and consistent use.
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Da: thebookforest.com, San Rafael, CA, U.S.A.thebookforest.com
Contatta il venditoreVenditore con 4 stelleCondizione: Usato - Molto buono
EUR 31,73
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Condizione: Very Good. hardcover. Page block firm and clean, binding unblemished, boards straight, without markings of any kind. Brand new with previous owners name along upper text block edge. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped.
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Da: thebookforest.com, San Rafael, CA, U.S.A.thebookforest.com
Contatta il venditoreVenditore con 4 stelleCondizione: Usato - Buono
EUR 31,73
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Condizione: 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.
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Da: mountain, GEORGETOWN, CO, U.S.A.mountain
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EUR 31,73
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hardcover. Condizione: Good. hardcover book no dust jacket, light wear to cover and book edges.
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Da: Half Price Books Inc., Dallas, TX, U.S.A.Half Price Books Inc.
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EUR 37,90
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Hardcover. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.
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Da: CollegePoint, Inc, Jamestown, TN, U.S.A.CollegePoint, Inc
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EUR 49,95
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Hardcover. Condizione: Good. 2nd Edition. We only honor returns for quality issues and won't accept reasons such as 'change my mind', 'find a better price', or 'school book requirement change', etc.
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- Edizione Internazionale
Da: Sizzler Texts, SAN GABRIEL, CA, U.S.A.Sizzler Texts
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EUR 44,56
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Soft cover. Condizione: New. Condizione sovraccoperta: 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 e…dition. 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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Da: Textbooks_Source, Columbia, MO, U.S.A.Textbooks_Source
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EUR 54,52
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hardcover. Condizione: New. Second Edition 2009. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Da: BestAroundDeals, Grand Rapids, MI, U.S.A.BestAroundDeals
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EUR 61,54
EUR 8,65 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: New. 2nd Edition.
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Da: medimops, Berlin, Germaniamedimops
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EUR 53,04
EUR 20,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Condizione: 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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Da: medimops, Berlin, Germaniamedimops
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EUR 56,99
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Condizione: 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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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 73,34
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Condizione: New. pp. 746.
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 78,80
EUR 2,29 spedizioneSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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EUR 75,43
EUR 8,93 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 7 disponibili
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 84,42
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Condizione: As New. Unread book in perfect condition.
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 75,42
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Condizione: New.
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In.
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 100,79
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Hardcover. Condizione: new. 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 gr…aphics. 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 multiple locations in the US or from the UK, depending on stock availability.
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Da: California Books, Miami, FL, U.S.A.California Books
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EUR 103,48
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Condizione: New.
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Da: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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EUR 103,58
Spedizione gratuitaSpedito in U.S.A.Quantità: 3 disponibili
Hardback. Condizione: 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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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 86,18
EUR 17,55 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: As New. Unread book in perfect condition.
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Da: GoldBooks, Denver, CO, U.S.A.GoldBooks
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EUR 103,75
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Hardcover. Condizione: new. New Copy. Customer Service Guaranteed.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 85,59
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Buch. Condizione: Neu. 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. Englisch.
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Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermaniaRheinberg-Buch Andreas Meier eK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 85,59
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Buch. Condizione: Neu. 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. Englisch.
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Da: Agapea Libros, Malaga, MA, SpagnaAgapea Libros
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 84,56
EUR 25,62 spedizioneSpedito da Spagna a U.S.A.Quantità: 1 disponibili
Condizione: New. Idioma/Language: Inglés. During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools… in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. 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. 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 factorization, and spectral clustering. There is also a chapter on methods for ``wide'' data (p bigger than n), including multiple testing and false discovery rates. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 116,38
Spedizione gratuitaSpedito da Regno Unito a U.S.A.Quantità: 5 disponibili
Hardback. Condizione: 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.
