cleaning up lecture notes

2024-09-02 16:33:30 +02:00
parent 7fb0038ca1
commit 052b731c69
8 changed files with 904 additions and 898 deletions
@@ -894,12 +894,10 @@ doconce format html week36.do.txt --no_mako -->
 <li><p>Linear Regression, ordinary least squares, Ridge and Lasso  and links with Statistics</p></li>
 <li><p>Recommended Reading: Goodfellow et al chapter 3  (till 3.11) on probability theory, see <a class="reference external" href="https://www.deeplearningbook.org/">https://www.deeplearningbook.org/</a></p></li>
 <li><p>Raschka et al, chapter 4 pages 105-134 and chapter 6 pages 171-185. Chapter 4 and 6 contain many useful hints which will also be relevant for the various projects as well.</p></li>
+<li><p><a class="reference external" href="https://youtu.be/oHjqjUB36KE">Video of lecture</a></p></li>
+<li><p><a class="reference external" href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember2.pdf">Whiteboard notes</a></p></li>
 </ul>
 </li>
-</ul>
-<!-- * [Video of lecture](https://youtu.be/Kc20CFK0z7Y) -->
-<!-- * [Whiteboard notes](https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep7.pdf) -->
-<ul class="simple">
 <li><p>Material for the active learning sessions on Tuesday and Wednesday</p>
 <ul>
 <li><p>Summary from last week on discussion of SVD, Ridge and Lasso linear regression.</p></li>
@@ -21,8 +21,10 @@
 #   * Recommended Reading: Goodfellow et al chapter 3  (till 3.11) on probability theory, see <https://www.deeplearningbook.org/>
 # 
 #   * Raschka et al, chapter 4 pages 105-134 and chapter 6 pages 171-185. Chapter 4 and 6 contain many useful hints which will also be relevant for the various projects as well.
-# <!-- * [Video of lecture](https://youtu.be/Kc20CFK0z7Y) -->
-# <!-- * [Whiteboard notes](https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep7.pdf) -->
+# 
+#   * [Video of lecture](https://youtu.be/oHjqjUB36KE)  
+# 
+#   * [Whiteboard notes](https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember2.pdf)
 # 
 # * Material for the active learning sessions on Tuesday and Wednesday
 #