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ma8701:2017v:course_material [2016-12-14] bo opprettet |
ma8701:2017v:course_material [2016-12-14] bo |
===== Course Material ===== | ===== Course Material ===== |
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===Course book=== | ===Course books=== |
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| Main source: |
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[[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. |
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* The complete book can be downloaded (pdf) from the above link. | Additional source: |
* If you want to buy the hardcover book, it may be ordered from [[http://www.amazon.co.uk/|amazon.co.uk]] for currently £44.09 (for example, search for 'Hastie'). | |
| [[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. |
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| * 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'). |
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===Recommended reading=== | ===Recommended reading=== |