minor typos

2021-11-03 11:07:26 +01:00
parent 9e64b7573e
commit bd2202ad83
6 changed files with 819 additions and 1516 deletions
@@ -1177,7 +1177,7 @@ The Hessian matrix of Ridge Regression for our simple example  is given by
 !et
 This implies that the Hessian matrix  is positive definite, hence the stationary point is a
 minimum.
-Note that the Ridge loss function is convex, as a sum of two convex
+Note that the Ridge cost function is convex being  a sum of two convex
 functions. Therefore, the stationary point is a global
 minimum of this function.