Download or read book The Dial written by and published by . This book was released on 1904 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Academy written by and published by . This book was released on 1881 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Monthly Literary Advertiser written by and published by . This book was released on 1815 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Catalogue of Books Printed in the XVth Century Now in the British Museum Italy Subiaco and Rome written by British Museum. Department of Printed Books and published by . This book was released on 1916 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Athenaeum written by and published by . This book was released on 1903 with total page 896 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 Elements of Causal Inference written by Jonas Peters and published by MIT Press. This book was released on 2017-11-29 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.
Download or read book The Library Table written by and published by . This book was released on 1877 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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Download or read book Engineering written by and published by . This book was released on 1901 with total page 1136 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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Download or read book Academy and Literature written by Charles Edward Cutts Birch Appleton and published by . This book was released on 1885 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Chemical Trade Journal and Chemical Engineer written by G Kelville Davis and published by . This book was released on 1927 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Johns Hopkins University Circular written by Johns Hopkins University and published by . This book was released on 1884 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
