update week 46

Author: mhjensen

doc/pub/week46/html/._week46-bs001.html

@@ -336,13 +336,13 @@ <h2 id="plan-for-week-46" class="anchor">Plan for week 46 </h2>
 <!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
 <ul>
   <li> Thursday: Basics of decision trees, classification and regression algorithms and ensemble models</li> 
-  <li> Readings and Videos:</li>
-<ul>
-    <li> These lecture notes
+  <li> Readings and Videos:
+<!-- * These lecture notes -->
 <!-- * <a href="https://youtu.be/PMswUwhYa7k" target="_self">Video of lecture</a> -->
 <!-- * <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesNov16.pdf" target="_self">Whiteboard notes</a> --></li>
+<ul>
     <li> <a href="https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn" target="_self">Video on Decision trees</a></li>
-    <li> 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 href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf" target="_self">STK-IN4300, lecture 7</a>. Chapter 9.2 of Hastie et al contains also a good discussion.</li>
+    <li> Decision Trees: Rashcka et al chapter 6, voting and bagging are discussed in chapter 7. See also lecture from <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf" target="_self">STK-IN4300, lecture 7</a>.</li> 
 </ul>
 </ul>
 </div>

doc/pub/week46/html/week46-reveal.html

@@ -214,16 +214,15 @@ <h2 id="plan-for-week-46">Plan for week 46 </h2>
 
 <p><li> Thursday: Basics of decision trees, classification and regression algorithms and ensemble models</li>
 
-<p><li> Readings and Videos:</li>
-<ul>
-
-<p><li> These lecture notes
+<p><li> Readings and Videos:
+<!-- * These lecture notes -->
 <!-- * <a href="https://youtu.be/PMswUwhYa7k" target="_blank">Video of lecture</a> -->
 <!-- * <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesNov16.pdf" target="_blank">Whiteboard notes</a> --></li>
+<ul>
 
 <p><li> <a href="https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn" target="_blank">Video on Decision trees</a></li>
 
-<p><li> 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 href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf" target="_blank">STK-IN4300, lecture 7</a>. Chapter 9.2 of Hastie et al contains also a good discussion.</li>
+<p><li> Decision Trees: Rashcka et al chapter 6, voting and bagging are discussed in chapter 7. See also lecture from <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf" target="_blank">STK-IN4300, lecture 7</a>.</li> 
 </ul>
 <p>
 </ul>

doc/pub/week46/html/week46-solarized.html

@@ -297,13 +297,13 @@ <h2 id="plan-for-week-46">Plan for week 46 </h2>
 <p>
 <ul>
   <li> Thursday: Basics of decision trees, classification and regression algorithms and ensemble models</li> 
-  <li> Readings and Videos:</li>
-<ul>
-    <li> These lecture notes
+  <li> Readings and Videos:
+<!-- * These lecture notes -->
 <!-- * <a href="https://youtu.be/PMswUwhYa7k" target="_blank">Video of lecture</a> -->
 <!-- * <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesNov16.pdf" target="_blank">Whiteboard notes</a> --></li>
+<ul>
     <li> <a href="https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn" target="_blank">Video on Decision trees</a></li>
-    <li> 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 href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf" target="_blank">STK-IN4300, lecture 7</a>. Chapter 9.2 of Hastie et al contains also a good discussion.</li>
+    <li> Decision Trees: Rashcka et al chapter 6, voting and bagging are discussed in chapter 7. See also lecture from <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf" target="_blank">STK-IN4300, lecture 7</a>.</li> 
 </ul>
 </ul>
 </div>

doc/pub/week46/html/week46.html

@@ -374,13 +374,13 @@ <h2 id="plan-for-week-46">Plan for week 46 </h2>
 <p>
 <ul>
   <li> Thursday: Basics of decision trees, classification and regression algorithms and ensemble models</li> 
-  <li> Readings and Videos:</li>
-<ul>
-    <li> These lecture notes
+  <li> Readings and Videos:
+<!-- * These lecture notes -->
 <!-- * <a href="https://youtu.be/PMswUwhYa7k" target="_blank">Video of lecture</a> -->
 <!-- * <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesNov16.pdf" target="_blank">Whiteboard notes</a> --></li>
+<ul>
     <li> <a href="https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn" target="_blank">Video on Decision trees</a></li>
-    <li> 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 href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf" target="_blank">STK-IN4300, lecture 7</a>. Chapter 9.2 of Hastie et al contains also a good discussion.</li>
+    <li> Decision Trees: Rashcka et al chapter 6, voting and bagging are discussed in chapter 7. See also lecture from <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf" target="_blank">STK-IN4300, lecture 7</a>.</li> 
 </ul>
 </ul>
 </div>