9780387848570 - the elements of statistical learning: data mining, inference, and prediction, second edition (springer series in statistics) de hastie, trevor; tibshirani, robert; friedman, jerome (28 resultados)
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Librería: BooksRun, Philadelphia, PA, Estados Unidos de AmericaBooksRun
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Hardcover. Condición: 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.
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Librería: thebookforest.com, San Rafael, CA, Estados Unidos de Americathebookforest.com
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EUR 39,92
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Condición: 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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Librería: thebookforest.com, San Rafael, CA, Estados Unidos de Americathebookforest.com
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EUR 39,92
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Condición: 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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Librería: mountain, GEORGETOWN, CO, Estados Unidos de Americamountain
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EUR 39,92
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hardcover. Condición: Good. hardcover book no dust jacket, light wear to cover and book edges.
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- Edición internacional
Librería: Sizzler Texts, SAN GABRIEL, CA, Estados Unidos de AmericaSizzler Texts
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Soft cover. Condición: New. Estado de la sobrecubierta: 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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Librería: Textbooks_Source, Columbia, MO, Estados Unidos de AmericaTextbooks_Source
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EUR 62,32
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hardcover. Condición: 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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Librería: BestAroundDeals, Grand Rapids, MI, Estados Unidos de AmericaBestAroundDeals
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Hardcover. Condición: New. 2nd Edition.
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Librería: medimops, Berlin, Alemaniamedimops
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EUR 60,49
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Condición: 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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Librería: WorldofBooks, Goring-By-Sea, WS, Reino UnidoWorldofBooks
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EUR 74,70
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Hardback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 85,95
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Condición: As New. Unread book in perfect condition.
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 87,89
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Condición: New.
Idioma: Inglés
Editorial: Springer-Verlag New York Inc., New York, NY, 2009
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 90,24
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Hardcover. Condición: 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 gra…phics. 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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Librería: GoldBooks, Denver, CO, Estados Unidos de AmericaGoldBooks
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EUR 87,79
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Hardcover. Condición: new. New Copy. Customer Service Guaranteed.
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 88,28
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Condición: New. pp. 746.
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 79,44
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Condición: New.
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 102,88
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Condición: New.
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Librería: Rarewaves USA, HEBRON, KY, Estados Unidos de AmericaRarewaves USA
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EUR 102,98
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Hardback. Condición: 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 c…olour 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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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 85,59
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Buch. Condición: 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. I…t 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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Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, AlemaniaRheinberg-Buch Andreas Meier eK
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EUR 85,59
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Buch. Condición: 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. I…t 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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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 95,21
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Condición: As New. Unread book in perfect condition.
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Librería: Agapea Libros, Malaga, MA, EspañaAgapea Libros
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EUR 84,56
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Condición: 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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Librería: moluna, Greven, Alemaniamoluna
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EUR 75,30
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Condición: 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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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 95,34
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Buch. Condición: 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.
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Librería: Studibuch, Stuttgart, AlemaniaStudibuch
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EUR 76,27
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hardcover. Condición: Sehr gut. 767 Seiten; 9780387848570.2 Gewicht in Gramm: 3.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 85,59
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Buch. Condición: Neu. Neuware -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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 745 pp. Englisch.
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 76,45
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Buch. Condición: Neu. The Elements of Statistical Learning | Data Mining, Inference, and Prediction, Second Edition | Jerome Friedman (u. a.) | Buch | Springer Series in Statistics | XXII | Englisch | 2009 | Springer-Verlag New York Inc. | EAN 9780387848570 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr…. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Editorial: Springer-Verlag New York Inc., New York, NY, 2009
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 141,85
Envío por EUR 31,86Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: 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 gra…phics. 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 our UK or US warehouse, depending on stock availability.
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Librería: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, AlemaniaBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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EUR 179,90
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Condición: gut. 2009. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) In englischer Sprache. pages.
