Deployed dcaf965 with MkDocs version: 1.6.1

Author: d9w

DR.html

@@ -74,7 +74,7 @@
     <div data-md-component="skip">
 
 
-        <a href="#dimensionality-reduction" class="md-skip">
+        <a href="#model-analysis" class="md-skip">
           Skip to content
         </a>
 
@@ -381,6 +381,18 @@
 
 
 
+        <label class="md-nav__link md-nav__link--active" for="__toc">
+          
+  
+  <span class="md-ellipsis">
+    Dimensionality Reduction
+    
+  </span>
+  
+
+          <span class="md-nav__icon md-icon"></span>
+        </label>
+      
       <a href="DR.html" class="md-nav__link md-nav__link--active">
 
 
@@ -392,6 +404,34 @@
 
       </a>
 
+        
+
+<nav class="md-nav md-nav--secondary" aria-label="Table of contents">
+  
+  
+  
+    
+  
+  
+    <label class="md-nav__title" for="__toc">
+      <span class="md-nav__icon md-icon"></span>
+      Table of contents
+    </label>
+    <ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
+      
+        <li class="md-nav__item">
+  <a href="#dimensionality-reduction-resources" class="md-nav__link">
+    <span class="md-ellipsis">
+      Dimensionality Reduction resources
+    </span>
+  </a>
+  
+</li>
+      
+    </ul>
+  
+</nav>
+      
     </li>
 
 
@@ -437,6 +477,23 @@
 
 
 
+    <label class="md-nav__title" for="__toc">
+      <span class="md-nav__icon md-icon"></span>
+      Table of contents
+    </label>
+    <ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
+      
+        <li class="md-nav__item">
+  <a href="#dimensionality-reduction-resources" class="md-nav__link">
+    <span class="md-ellipsis">
+      Dimensionality Reduction resources
+    </span>
+  </a>
+  
+</li>
+      
+    </ul>
+  
 </nav>
                   </div>
                 </div>
@@ -454,11 +511,15 @@
 
 
 
-<h1 id="dimensionality-reduction">Dimensionality Reduction<a class="headerlink" href="#dimensionality-reduction" title="Permanent link">🔗</a></h1>
+<h1 id="model-analysis">Model Analysis<a class="headerlink" href="#model-analysis" title="Permanent link">🔗</a></h1>
+<p>Previously dimensionality reduction</p>
 <ul>
 <li><a href="https://supaerodatascience.github.io/deep-learning/">Home</a></li>
 <li><a href="https://github.com/SupaeroDataScience/deep-learning/">Github repository</a></li>
 </ul>
+<p><a href="https://colab.research.google.com/github/SupaeroDataScience/deep-learning/blob/main/DR/Model_Analysis.ipynb">Model Analysis</a></p>
+<p><a href="https://colab.research.google.com/github/SupaeroDataScience/deep-learning/blob/main/DR/Uncertainty_Calibration.ipynb">Uncertainty Calibration</a></p>
+<h2 id="dimensionality-reduction-resources">Dimensionality Reduction resources<a class="headerlink" href="#dimensionality-reduction-resources" title="Permanent link">🔗</a></h2>
 <p>This class goes deeper in the mechanism and usage of Dimensionality Reduction. You will learn to exploit the effects of dimensionality on your machine learning models, with illustrated intuitions, and practical examples.
 You will start with an already very known technique in a linear setup, Principal Components Analysis, to move progressively towards non-linear manifold learning with t-SNE, to end up with Deep Learning techniques to reduce the dimension. Through concrete application of Autoencoders you will know what are their main interests and pitfalls, to make the best architecture choice given your problem to solve.</p>
 <p><a href="https://github.com/SupaeroDataScience/deep-learning/blob/main/DR/dimensionality_reduction_class.pdf">Lecture notes</a></p>