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Download or read book The Elements of Statistical Learning written by Trevor Hastie and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 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 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. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/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, projection pursuit and gradient boosting.

Download or read book Catalog of Copyright Entries Third Series written by Library of Congress. Copyright Office and published by . This book was released on 1977 with total page 1670 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Student s Solutions Manual to Accompany Elementary Statistics Using the Graphing Calculator for the TI 83 84 Plus written by Mario F. Triola and published by Addison Wesley Longman. This book was released on 2004-04 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Download or read book Books and Pamphlets Including Serials and Contributions to Periodicals written by Library of Congress. Copyright Office and published by . This book was released on 1968 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Download or read book Catalogue of Title entries of Books and Other Articles Entered in the Office of the Librarian of Congress at Washington Under the Copyright Law Wherein the Copyright Has Been Completed by the Deposit of Two Copies in the Office written by Library of Congress. Copyright Office and published by . This book was released on 1978 with total page 1236 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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