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 ...
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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.
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Add this copy of The Elements of Statistical Learning: Data Mining, to cart. $50.95, good condition, Sold by HPB-Red rated 5.0 out of 5 stars, ships from Dallas, TX, UNITED STATES, published 2016 by Springer.
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Fine in fine dust jacket. Sewn binding. Cloth over boards. 745 p. Contains: Illustrations, black & white, Illustrations, color. Springer Statistics. Audience: General/trade.
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Good. Size: 9x6x1; Listing is for Book only. Used book in Good condition with wear from use. Wear on the edges and creased pages/cover, but no writing, highlighting, or markings inside. Supplemental items and access codes are not included. This listing is just for the book.
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Fair. Used-Acceptable: All pages and the cover are intact but shrink wrap dust covers or boxed set case may be missing. Pages may include limited notes highlighting or minor water damage but the text is readable. Item may be missing bundled media.
Add this copy of The Elements of Statistical Learning: Data Mining, to cart. $50.94, fair condition, Sold by ThriftBooks-Atlanta rated 4.0 out of 5 stars, ships from Austell, GA, UNITED STATES, published 2009 by Springer.
Add this copy of The Elements of Statistical Learning: Data Mining, to cart. $52.00, like new condition, Sold by Creative Space rated 4.0 out of 5 stars, ships from Las Vegas, NV, UNITED STATES, published 2009 by Springer.
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Fine in fine dust jacket. Sewn binding. Cloth over boards. 745 p. Contains: Illustrations, black & white, Illustrations, color. Springer Statistics. Audience: General/trade. Great condition! Supplements like CD, Access Code and Scratch Code etc. may or may not be included. Customer satisfaction is our prime priority. Please feel free to contact us.
Add this copy of The Elements of Statistical Learning: Data Mining, to cart. $53.62, good condition, Sold by Goodwill rated 5.0 out of 5 stars, ships from Brooklyn Park, MN, UNITED STATES, published 2009 by Springer.
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Good. All pages and cover are intact including the dust cover if applicable. Spine may show signs of wear. Pages may include limited notes and highlighting. May include From the library of labels. Shrink wrap dust covers or boxed set case may be missing. Item may be missing bundled media.