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The Elements of Statistical Learning by Jerome Friedman NEW Hardback
Β£62.46
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New
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eBay item number:296274364964
Item specifics
- Condition
- Title
- The Elements Of Statistical Learning
- Weight
- 1492
- EAN
- 9780387848570
- ISBN-10
- 0387848576
- Date of Publication
- 20170421
- Place of Publication
- United States
- Book Series
- Springer Series In Statistics
- Genre
- PBT|PS|PSA|UNF|UYQ
- Narrative Type
- N/A
- Features
- 2nd Ed. 2009, Corr. 9th Printing 2017
- Intended Audience
- N/A
- Ex Libris
- No
- Editor
- N/A
- Edition
- 2nd Ed. 2009, Corr. 9th Printing 2017
- Pagination
- 745 Pages, 604 Illustrations, Color; 54 Illustrations, Black And
- Dimensions
- 242 X 164 X 37
- ISBN
- 9780387848570
- Publication Year
- 2017
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Publication Name
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
- Item Height
- 235 mm
- Publisher
- Springer-Verlag New York Inc.
- Subject
- Medicine, Engineering & Technology, Computer Science, Biology, Mathematics
- Item Weight
- 1451 g
- Item Width
- 155 mm
- Number of Pages
- 745 Pages
About this product
Product Information
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.
Product Identifiers
Publisher
Springer-Verlag New York Inc.
ISBN-13
9780387848570
eBay Product ID (ePID)
91520270
Product Key Features
Number of Pages
745 Pages
Publication Name
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Language
English
Subject
Medicine, Engineering & Technology, Computer Science, Biology, Mathematics
Publication Year
2017
Type
Textbook
Format
Hardcover
Dimensions
Item Height
235 mm
Item Weight
1451 g
Item Width
155 mm
Additional Product Features
Country/Region of Manufacture
United States
Item description from the seller
Seller business information
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- n***n (574)- Feedback left by buyer.Past 6 monthsVerified purchaseGreat seller, ticked all the boxes: Great quality item, perfect condition, superquick postage, good Packaging, Item as described, nice appearance, great Value for money!
- b***6 (47)- Feedback left by buyer.Past 6 monthsVerified purchaseExcellent service from Ryefield Books. New book, condition as described. Price good. Good packaging to avoid damage in post. Order dispatched and received promptly. I'd order from them again.Shills Cant Cash Chips by Erle Stanley Gardner NEW Paperback softback (#126337744316)
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- 23 Sep, 2020
Good book
Verified purchase: YesCondition: NewSold by: speedyhenuk
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Great purchased
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- 01 Nov, 2024
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