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An Introduction to Statistical Learning: With Applications in R

Saturday, 21 November 2015, 17:55 | Non Fiction, Science, Textbooks | 0 Comment | 450 Views
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An Introduction to Statistical Learning With Applications in R

Download Ebook An Introduction to Statistical Learning: With Applications in R Free
by Gareth James, Trevor Hastie, Robert Tibshirani, Daniela Witten (With)

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, 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.

Hardcover, 426 pages
Expected publication: December 14th 2015 by Springer (first published June 24th 2013)

ISBN : 1461471370 (ISBN13: 9781461471370)
edition language : English

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An Introduction to Statistical Learning : with Applications in R


Author is : Gareth James
Publisher is : Springer Science & Business Media
release : 2013-06-24
genre : Mathematics
isbn_10 : 1461471389
isbn_13 : 9781461471387

An Introduction to Statistical Learning : with Applications in R


Author is : Gareth James
Publisher is : Springer
release : 2014-07-11
genre : Mathematics
isbn_10 : 9781461471370
isbn_13 : 1461471370

An Introduction to Statistical Learning : With Applications in R


Author is : Gareth James
Publisher is : no defined
release :
genre : Mathematical models
isbn_10 :
isbn_13 : OCLC:1020513587

The Elements of Statistical Learning : Data Mining, Inference, and Prediction


Author is : Trevor Hastie
Publisher is : Springer Science & Business Media
release : 2013-11-11
genre : Mathematics
isbn_10 : 0387216065
isbn_13 : 9780387216065

An Introduction to Statistics with Python : With Applications in the Life Sciences


Author is : Thomas Haslwanter
Publisher is : Springer
release : 2016-07-20
genre : Computers
isbn_10 : 3319283162
isbn_13 : 9783319283166

An Elementary Introduction to Statistical Learning Theory :


Author is : Sanjeev Kulkarni
Publisher is : John Wiley & Sons
release : 2011-06-09
genre : Mathematics
isbn_10 : 9781118023464
isbn_13 : 1118023463

Statistical Learning from a Regression Perspective :


Author is : Richard A. Berk
Publisher is : Springer
release : 2016-10-26
genre : Mathematics
isbn_10 : 3319440489
isbn_13 : 9783319440484

Machine Learning and Data Science : An Introduction to Statistical Learning Methods with R


Author is : Daniel D. Gutierrez
Publisher is : Technics Publications
release : 2015-11-01
genre : Computers
isbn_10 : 1634620984
isbn_13 : 9781634620987

Understanding Complex Datasets : Data Mining with Matrix Decompositions


Author is : David Skillicorn
Publisher is : CRC Press
release : 2007-05-17
genre : Computers
isbn_10 : 9781584888338
isbn_13 : 1584888334

Introduction to Statistics and Data Analysis : With Exercises, Solutions and Applications in R


Author is : Christian Heumann
Publisher is : Springer
release : 2017-01-26
genre : Mathematics
isbn_10 : 3319461621
isbn_13 : 9783319461625

Computational Probability :


Author is : Winfried K. Grassmann
Publisher is : Springer Science & Business Media
release : 2013-03-14
genre : Business & Economics
isbn_10 : 1475748280
isbn_13 : 9781475748284

Foundations and Applications of Statistics: An Introduction Using R , Second Edition :


Author is : Randall Pruim
Publisher is : American Mathematical Soc.
release : 2018-04-04
genre : Mathematical statistics
isbn_10 : 1470428482
isbn_13 : 9781470428488

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