adding typos

2019-12-25 18:14:45 +01:00
parent f23e4c4621
commit 0577805564
8 changed files with 55 additions and 17 deletions
@@ -938,8 +938,13 @@ years etc.


 Finally, another cost function is the Huber cost function used in robust regression.
-It is less sensitive to outliers in data than the squared error cost function.
-A variant for classification is also sometimes used, a quantity we will meet later. 
+
+The rationale behind this possible cost function is its reduced
+sensitivity to outliers in the data set. In our discussions on
+dimensionality reduction and normalization of data we will meet other
+ways of dealing with outliers.
+
+The Huber cost function is defined as
 !bt
 \[
 H_{\delta}(a)={\begin{cases}{\frac {1}{2}}{a^{2}}&{\text{for }}|a|\leq \delta ,\\\delta (|a|-{\frac {1}{2}}\delta ),&{\text{otherwise.}}\end{cases}}}.