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doc/LectureNotes/_build/html/week46.html

@@ -1119,7 +1119,8 @@ doconce format html week46.do.txt --no_mako -->
 <li><p>Readings and Videos:</p>
 <ul>
 <li><p>These lecture notes</p></li>
-<li><p><a class="reference external" href="https://youtu.be/">Video of lecture to be added</a></p></li>
+<li><p><a class="reference external" href="https://youtu.be/PMswUwhYa7k">Video of lecture</a></p></li>
+<li><p><a class="reference external" href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesNov16.pdf">Whiteboard notes</a></p></li>
 <li><p><a class="reference external" href="https://www.youtube.com/watch?v=RmajweUFKvM&amp;ab_channel=Simplilearn">Video on Decision trees</a></p></li>
 <li><p>Decision Trees: Geron’s chapter 6 covers decision trees while ensemble models, voting and bagging are discussed in chapter 7. See also lecture from <a class="reference external" href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf">STK-IN4300, lecture 7</a>. Chapter 9.2 of Hastie et al contains also a good discussion.</p></li>
 </ul>
@@ -1288,9 +1289,9 @@ predicting the target features of query instances is as follows:</p>
 </div>
 <div class="cell_output docutils container">
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2nd degree coefficients:
-zero power:  3.7228270501360416
-first power:  0.125304962667421
-second power:  -0.0008187895061620525
+zero power:  -7.926488923435684
+first power:  0.10587157250737213
+second power:  -0.00018629164426077816
 </pre></div>
 </div>
 <img alt="_images/week46_9_1.png" src="_images/week46_9_1.png" />