Merge overleaf-2023-12-13-0955 into main

slds-lmu · Dec 13, 2023 · fddf79e · fddf79e
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diff --git a/slides/regularization/slides-regu-intro.tex b/slides/regularization/slides-regu-intro.tex
@@ -33,7 +33,7 @@
 
 \end{vbframe}
 
-\begin{vbframe}{Invariance/Symmetry}
+\begin{vbframe}{Regularization for Invariance/Symmetry}
 Prior knowledge often requires that model predictions should be invariant under certain input transformations.\\
 In image classification, label ``cat'' should hold regardless of position or size of relevant object (translation/scale invariance)
 \begin{enumerate}\setlength\itemsep{1.02em}

diff --git a/slides/regularization/slides-regu-ridge-deepdive.tex b/slides/regularization/slides-regu-ridge-deepdive.tex
@@ -5,8 +5,9 @@
 
 \newcommand{\titlefigure}{figure_man/bias-variance-ridge.png}
 \newcommand{\learninggoals}{
-  \item Know four perspectives interpretations on Ridge regression
-  \item Derivation of the bias-variance tradeoff for Ridge regression
+  \item Know interpretation of $L2$ regularization as row-augmentation
+  \item Know interpretation of $L2$ regularization as minimizing risk under feature noise
+  %\item Derivation of the bias-variance tradeoff for Ridge regression
 }
 
 \title{Introduction to Machine Learning}