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tumaer · Dec 17, 2024 · 15156b7 · 15156b7
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diff --git a/_images/gradients_example_question.png b/_images/gradients_example_question.png
diff --git a/exercise/bayes.html b/exercise/bayes.html
@@ -664,8 +664,8 @@ <h3><span class="section-number">2.1.4. </span>Bayesian Linear Regression Model<
 <p>The model below essentially makes the following prior assumptions:</p>
 <div class="math notranslate nohighlight">
 \[y \approx h(x) = wx + b + \epsilon, \quad \text{with:}\]</div>
-<div class="amsmath math notranslate nohighlight" id="equation-762ca762-c6e7-49ee-ae7d-1206a8e34025">
-<span class="eqno">(2.30)<a class="headerlink" href="#equation-762ca762-c6e7-49ee-ae7d-1206a8e34025" title="Permalink to this equation">#</a></span>\[\begin{align}
+<div class="amsmath math notranslate nohighlight" id="equation-0d42dfcb-7ebf-4e0f-91df-dd68e0c6a027">
+<span class="eqno">(2.30)<a class="headerlink" href="#equation-0d42dfcb-7ebf-4e0f-91df-dd68e0c6a027" title="Permalink to this equation">#</a></span>\[\begin{align}
 y_i &amp;\sim \mathcal{N}(\mu, \sigma^2)\\
 \mu &amp;= w \cdot x_i + b\\
 w &amp;\sim \mathcal{N}(0,1^2)\\