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ma8701:2017v:course_material [2016-12-14]
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ma8701:2017v:course_material [2016-12-14]
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 ===Course books=== ===Course books===
  
-Main source:+//Main source//
  
 [[http://www-stat.stanford.edu/~tibs/ElemStatLearn//|The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition]] (Springer Series in Statistics) by Trevor Hastie, Robert Tibshirani, and Jerome Friedman. [[http://www-stat.stanford.edu/~tibs/ElemStatLearn//|The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition]] (Springer Series in Statistics) by Trevor Hastie, Robert Tibshirani, and Jerome Friedman.
  
-Additional source:+//Additional sources// 
 + 
 +[[http://link.springer.com/book/10.1007%2F978-1-4614-7138-7|An Introduction to Statistical Learning with Applications in R]] (Springer Texts in Statistics) by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani. 
 + 
 +[[http://link.springer.com/book/10.1007%2F978-3-319-44048-4|Statistical Learning from a Regression Perspective, Second Edition]] (Springer Texts in Statistics) by Richard A. Berk.
  
-[[http://link.springer.com/book/10.1007%2F978-1-4614-7138-7|An Introduction to Statistical Learning]] (Springer Texts in Statistics) by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani. 
  
   * The complete books can be downloaded (pdf) from the above links.    * The complete books can be downloaded (pdf) from the above links. 
-  * If you want to buy the hardcover books, they may be ordered from [[http://www.amazon.co.uk/|amazon.co.uk]] for currently, respectively £48.59 and £51.39 (for example, search for 'Statistical Learning'). 
  
 ===Recommended reading=== ===Recommended reading===
  
-==Books:== +
  
 (Course book in an earlier course on Multivariate analysis:) \\ (Course book in an earlier course on Multivariate analysis:) \\
2017-01-17, Bo Henry Lindqvist