Typo <noupdate>

src/year1/languages-and-algorithms-for-ai/module3/sections/_computational_learning.tex

@@ -233,7 +233,7 @@ In other words, a point is misclassified if it is in $R$ but not in $T$ or vice
                 We want to prove that:
                 \begin{equation} \label{eq:rect_points_to_error}
                     \begin{aligned}
-                        \forall i: \left( \parbox{2.7cm}{Some red points in the training data is in $F_i$} \right) &\Rightarrow
+                        \forall i: \left( \parbox{2.7cm}{Some red points in the training data are in $F_i$} \right) &\Rightarrow
                             E_i \subseteq F_i \\
                             & \Rightarrow \mathcal{P}_{x \sim \mathcal{D}}[x \in E_i] \leq \mathcal{P}_{x \sim \mathcal{D}}[x \in F_i] \\
                             & \Rightarrow \mathcal{P}_{x \sim \mathcal{D}}[x \in E_i] \leq \frac{\varepsilon}{4}