James, Gareth <br/><br/>
An introduction to statistical learning :  with applications in R / 
Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani. 
 - New York :  Springer,  2013. 
 - xvi, 426 p.:  ill. (some color) ;  24 cm. 
 - Springer texts in statistics,  103  1431-875X ; .
<br/><br/> Includes index. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9781461471370  €59.99 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Mathematical statistics.
<br/><br/><label>Dewey Class. No.: </label>519.5  / JAM