02396aam a2200241 4500
170620b2015 xxu||||| |||| 00| 0 eng d
9781461471370
519.5
J2I6
James, Gareth
345009
An introduction to statistical learning: with applications in R
Springer
2013
New York
xiv, 426 p.
Springer texts in statistics
345010
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.
http://rentals.springer.com/product/9781461471387
Mathematical statistics
345011
R - Computer program language
345012
Statistics
345013
Mathematical models
345014
Hastie, Trevor
Co-author
345015
Witten, Daniela
Co-author
345016
Tibshirani, Robert
Co-author
345017
ddc
BK
206552
206552
0
0
ddc
0
519_500000000000000_J2I6
0
NFIC
348005
VSL
VSL
GEN
2017-06-21
8
3551.40
14
4
519.5 J2I6
194693
2020-04-12
2019-12-14
2019-12-14
4439.26
BK