DISCLOSURE:
When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission at no extra cost to you. Affiliate programs and affiliations include, but are not limited to, the eBay Partner Network, Amazon and Alibris.
×
The link of the search results:
Please copy and share (some browsers may have copied to Clipboard)
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.
ISBN10: 0387848576, ISBN13: 9780387848570, [publisher: Springer] Hardcover Book is in NEW condition. Satisfaction Guaranteed! Fast Customer Service!! [Suffolk, United Kingdom] [Publication Year: 2009]
ISBN10: 0387848576, ISBN13: 9780387848570, [publisher: Springer] Hardcover New Book. Shipped from UK. Established seller since 2000. [Wood Dale, IL, U.S.A.] [Publication Year: 2009]
Springer New York 2/9/2009 12: 00: 00 AM 2nd ed. 2009 Hardcover New Book from multilingual publisher. Shipped from UK within 4 to 14 days. Please check language within the description.
Springer 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.
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.
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
author size:
USD
101.37
price size:
Booksplease via Alibris /Alibris
dealer size:
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.
Springer, Date: 2016-01-01. Hardcover. Good. US Edition Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Emailed Tracking from USA Springer ISBN 0387848576 9780387848570 [US]
h:strom - Text & Kultur AB / Antikvariat & Bokhandel /Biblio
dealer size:
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]
ISBN10: 0387848576, ISBN13: 9780387848570, [publisher: Springer] Hardcover New. Fast Shipping and good customer service [Fayetteville, TX, U.S.A.] [Publication Year: 2009]
ISBN10: 0387848576, ISBN13: 9780387848570, [publisher: SPRINGER NATURE] Hardcover Special order direct from the distributor [Victoria, BC, Canada] [Publication Year: 2009]
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 ...
TREVOR HASTIE, ROBERT TIBSHIRANI, JEROME FRIEDMAN, HASTIE T, HASTIE
author size:
USD
136.70
price size:
Kanic Books /AbebooksUK
dealer size:
ISBN10: 0387848576, ISBN13: 9780387848570, [publisher: SPRINGER] Hardcover Ship within 24hrs. Satisfaction 100% guaranteed. I Ships from multiple Locations I "Special Note" We do not Provide Service On APO & PO BOX Box addresses. Delivery with In 7-14 working Day Only. This Books ship from the United Kingdom & USA other locations in India depending on your location and availability. [London, LONDO, United Kingdom] [Publication Year: 2016]
DISCLOSURE: When you use one of our links to make a purchase, we may earn a commission at no extra cost to you. As an Amazon Associate, AddALL earn commission from qualifying Amazon purchases.
