Add missing corollary and sections reorder

src/languages-and-algorithms-for-ai/module3/sections/_computational_learning.tex

@@ -79,7 +79,10 @@
         \end{description}
 \end{description}
 
-\begin{example}[Axes-aligned rectangles in $\mathbb{R}^2_{[0, 1]}$]
+
+
+\section{Axes-aligned rectangles over $\mathbb{R}^2_{[0, 1]}$}
+
 Consider the instance space $X = \mathbb{R}^2_{[0, 1]}$
 and the concept class $\mathcal{C}$ of concepts represented by all the points contained within a rectangle parallel to the axes of arbitrary size.
 
@@ -108,7 +111,7 @@
 \end{remark}
 
 
-    \begin{theorem}[Axes-aligned rectangles in $\mathbb{R}^2_{[0, 1]}$ PAC learnability]
+\begin{theorem}[Axes-aligned rectangles over $\mathbb{R}^2_{[0, 1]}$ PAC learnability]
     It holds that:
     \begin{itemize}
         \item For every distribution $\mathcal{D}$,
@@ -156,4 +159,8 @@
         \textit{To be continued\dots}
     \end{proof}
 \end{theorem}
-\end{example}
+
+
+\begin{corollary}
+    The concept class of axis-aligned rectangles over $\mathbb{R}^2_{[0, 1]}$ is efficiently PAC learnable.
+\end{corollary}