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Synopsis
During the past decade, there has been an explosion in computation and information technology. With it has 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 different terminology. This book describes the important ideas in these areas in common conceptual framework. While the approach is statistical, the emphasis on concepts rather than mathematics. Many examples are given with a liberal use of color graphics. It should be 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 machines, classification trees, and boosting - the first comprehensive treatment of this topic in any book.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University and prominent researchers in this area. Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer-Verlag New York Inc.
- Date d'édition2003
- ISBN 10 0387952845
- ISBN 13 9780387952840
- ReliureRelié
- Langueanglais
- Nombre de pages552
- Coordonnées du fabricantnon disponible
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction Springer Series in Statistics
Edité par
Springer, 2001
ISBN 10 : 0387952845
ISBN 13 : 9780387952840
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gebundene Ausgabe. Etat : Gut. 532 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 1105. N° de réf. du vendeur 2239241
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The Elements of Statistical Learning: Data Mining, Inference and Prediction
Edité par
Springer-Verlag, 2003
ISBN 10 : 0387952845
ISBN 13 : 9780387952840
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Couverture rigide
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Etat : Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1150grams, ISBN:9780387952840. N° de réf. du vendeur 5559651
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics)
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Springer (edition First printing of the 2001 edition.), 2003
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ISBN 13 : 9780387952840
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Hardcover. Etat : Good. First printing of the 2001 edition. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. N° de réf. du vendeur 0387952845-11-1
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The elements of statistical learning. Data mining, inference, and prediction.
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New York, Springer, 2009
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Hardcover. 2nd. ed. XVI, 533 p. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. C-05394 9780387952840 Sprache: Englisch Gewicht in Gramm: 1150. N° de réf. du vendeur 2491647
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics)
Edité par
Springer, 2003
ISBN 10 : 0387952845
ISBN 13 : 9780387952840
Ancien ou d'occasion
Couverture rigide
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Etat : very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if youâre not satisfied with purchase please return item for full refund. Ships USPS Media Mail. N° de réf. du vendeur OTV.0387952845.VG
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics) Hastie, Trevor; Tibshirani, Robert and Friedman, Jerome
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Springer, 2003
ISBN 10 : 0387952845
ISBN 13 : 9780387952840
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics)
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ISBN 13 : 9780387952840
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Hardcover. Etat : 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. N° de réf. du vendeur 15217
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics)
Edité par
Springer, 2003
ISBN 10 : 0387952845
ISBN 13 : 9780387952840
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics)
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Springer, 2003
ISBN 10 : 0387952845
ISBN 13 : 9780387952840
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Etat : Good. May have some shelf-wear due to normal use. Your purchase funds free job training and education in the greater Seattle area. Thank you for supporting Goodwills nonprofit mission! N° de réf. du vendeur 0KVOGF003ZZG_ns
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics)
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Springer, 2003
ISBN 10 : 0387952845
ISBN 13 : 9780387952840
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Couverture rigide
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