From 7781ed161fc9fb7987605bf44a1bd3e69d9b3531 Mon Sep 17 00:00:00 2001
From: Mara Averick <maraaverick@gmail.com>
Date: Wed, 24 Oct 2018 13:26:16 -0400
Subject: [PATCH] Update ESL link in 24.3 (#684)

* Fixes #663.
---
 model-building.Rmd | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/model-building.Rmd b/model-building.Rmd
index cfe0e82..e63c879 100644
--- a/model-building.Rmd
+++ b/model-building.Rmd
@@ -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
   understanding of the math behind the models, read the classic 
   *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).
 
 * *Applied Predictive Modeling* by Max Kuhn and Kjell Johnson,