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Update ESL link in 24.3 (#684) 

* Fixes #663.
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Mara Averick 2018-10-24 13:26:16 -04:00 committed by Hadley Wickham
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model-building.Rmd
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@ -461,7 +461,7 @@ These modelling chapters are even more opinionated than the rest of the book. I
techniques collectively known as statistical learning. For an even deeper techniques collectively known as statistical learning. For an even deeper
understanding of the math behind the models, read the classic understanding of the math behind the models, read the classic
*Elements of Statistical Learning* by Trevor Hastie, Robert Tibshirani, and *Elements of Statistical Learning* by Trevor Hastie, Robert Tibshirani, and
Jerome Friedman, <http://statweb.stanford.edu/~tibs/ElemStatLearn/> (also Jerome Friedman, <https://web.stanford.edu/~hastie/Papers/ESLII.pdf> (also
available online for free). available online for free).
* *Applied Predictive Modeling* by Max Kuhn and Kjell Johnson, * *Applied Predictive Modeling* by Max Kuhn and Kjell Johnson,