An Introduction to Statistical Learning PDF Download Free

June 7, 2022

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Attributes of An Introduction to Statistical Learning PDF

An Introduction to Statistical Learning PDF

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform.

Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

This Second Edition features new chapters on deep learning, survival analysis, and multiple testing, as well as expanded treatments of naïve Bayes, generalized linear models, Bayesian additive regression trees, and matrix completion. R code has been updated throughout to ensure compatibility.

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Illustrations of An Introduction to Statistical Learning PDF

This book is one of the best-selling books for the subject of science and math for all students and professionals around the world who aspire to achieve excellency in their courses and field for better understanding and teaching their pupils and themselves. It is a must read at-least once a lifetime, whether or not you find yourself related to the subject or not. So download book An Introduction to Statistical Learning PDF

The Writers

Gareth James is a professor of data sciences and operations, and the E. Morgan Stanley Chair in Business Administration, at the University of Southern California. He has published an extensive body of methodological work in the domain of statistical learning with particular emphasis on high-dimensional and functional data. The conceptual framework for this book grew out of his MBA elective courses in this area.

Daniela Witten is a professor of statistics and biostatistics, and the Dorothy Gilford Endowed Chair, at the University of Washington. Her research focuses largely on statistical machine learning techniques for the analysis of complex, messy, and large-scale data, with an emphasis on unsupervised learning.

Trevor Hastie and Robert Tibshirani are professors of statistics at Stanford University, and are co-authors of the successful textbook Elements of Statistical Learning. 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.

Proportions of An Introduction to Statistical Learning PDF

Publisher ‏ : ‎ Springer; 2nd ed. 2021 edition (July 30, 2021)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 622 pages
International Standard Book Number-10 ‏ : ‎ 1071614177
International Standard Book Number-13 ‏ : ‎ 978-1071614174
Item Weight ‏ : ‎ 2.63 pounds
Dimensions ‏ : ‎ 8 x 1.2 x 9.4 inches

Reviews From Customers

This was written at a fourth grade level. In the first chapter there are multiple sentences that were written incorrectly and honestly it just makes it hard to read and take seriously. I’m no book snob, but this is just ridiculous. I guess anyone can write a book these days.

Once or twice per page I am stopping to think, “did I just have an aneurism?”
1

Chuzpah
Good information but nothing new
July 7, 2021

There is a lot of good information in this book. Listening skills are emphasized across multiple chapters. The chapter on telling stories was informative and summarized with the 1:1:1 method of one action, one emotion, and one sentence. There is one example given, but I think there could be a few more. Overall, the book is good, but I feel that it could have been great with a little more effort.
1

Quinn
Content is great, binding is horrible
June 16, 2021

The content of the book is great. However the binding is horrible, it started falling apart from day one. Basically when you turn to a new page that page will fall out of the book. I would recommend to buy the kindle version instead.

Giovanni
Great tips to talk with everyone
March 27, 2021

Another great work By JW Williams… how to talk to anyone is full of great tips to establish relationships with people ( at least, for me). It helped to feel confident with myself because I’m now able to find a way to talk with those persons I love to contact in order to establish a connection…in business, in love etc

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