9780387848570 - the elements of statistical learning: data mining, inference, and prediction di hastie, trevor; tibshirani, robert; friedman, jerome (28 risultati)
- Rilegato
Da: BooksRun, Philadelphia, PA, U.S.A.BooksRun
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Molto buono
EUR 36,52
Spedizione gratuitaSpedito in U.S.A.Quantità: 4 disponibili
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.
- Rilegato
Da: thebookforest.com, San Rafael, CA, U.S.A.thebookforest.com
Contatta il venditoreVenditore con 4 stelleCondizione: Usato - Molto buono
EUR 39,92
EUR 4,30 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
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.
- Brossura
Da: thebookforest.com, San Rafael, CA, U.S.A.thebookforest.com
Contatta il venditoreVenditore con 4 stelleCondizione: Usato - Buono
EUR 39,92
EUR 4,30 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
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.
- Rilegato
Da: mountain, GEORGETOWN, CO, U.S.A.mountain
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Buono
EUR 39,92
EUR 4,31 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
hardcover. Condizione: Good. hardcover book no dust jacket, light wear to cover and book edges.
- Brossura
- Edizione Internazionale
Da: Sizzler Texts, SAN GABRIEL, CA, U.S.A.Sizzler Texts
Contatta il venditoreVenditore con 5 stelleEdizione InternazionaleCondizione: Nuovo
EUR 44,30
EUR 12,91 spedizioneSpedito in U.S.A.Quantità: Più di 20 disponibili
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.
- Rilegato
Da: Textbooks_Source, Columbia, MO, U.S.A.Textbooks_Source
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 61,52
EUR 3,44 spedizioneSpedito in U.S.A.Quantità: 5 disponibili
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).
- Rilegato
Da: BestAroundDeals, Grand Rapids, MI, U.S.A.BestAroundDeals
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 61,19
EUR 8,60 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: New. 2nd Edition.
- Rilegato
Da: medimops, Berlin, Germaniamedimops
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Buono
EUR 60,49
EUR 10,00 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.
- Rilegato
Da: WorldofBooks, Goring-By-Sea, WS, Regno UnitoWorldofBooks
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Molto buono
EUR 74,70
EUR 6,52 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardback. Condizione: 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.
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 85,95
EUR 2,27 spedizioneSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: As New. Unread book in perfect condition.
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 87,89
EUR 2,27 spedizioneSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New.
- Rilegato
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 90,24
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
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.
- Rilegato
Da: GoldBooks, Denver, CO, U.S.A.GoldBooks
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 87,48
EUR 4,74 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. New Copy. Customer Service Guaranteed.
- Rilegato
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 88,28
EUR 7,56 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Condizione: New. pp. 746.
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 79,44
EUR 17,46 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: New.
- Rilegato
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 102,88
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New.
- Rilegato
Da: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 102,98
Spedizione gratuitaSpedito in U.S.A.Quantità: 2 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.
- Rilegato
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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.
- Rilegato
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.
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 95,21
EUR 17,46 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: As New. Unread book in perfect condition.
- Brossura
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.
- Rilegato
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 75,30
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: 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.
- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 95,34
EUR 38,90 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.
- Rilegato
Da: Studibuch, Stuttgart, GermaniaStudibuch
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Ottimo
EUR 76,27
EUR 62,30 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
hardcover. Condizione: Sehr gut. 767 Seiten; 9780387848570.2 Gewicht in Gramm: 3.
- Rilegato
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 85,59
EUR 60,00 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 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.
- Rilegato
Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 76,45
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Buch. Condizione: 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, Tiergartenst…r. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
- Rilegato
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 141,85
EUR 31,86 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
- Rilegato
Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermaniaBUCHSERVICE / ANTIQUARIAT Lars Lutzer
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Molto buono
EUR 179,90
EUR 39,95 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Condizione: gut. 2009. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) In englischer Sprache. pages.
