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

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@@ -324,27 +324,27 @@ <h2 id="plan-for-week-46" class="anchor">Plan for week 46 </h2>
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<div class="panel panel-default">
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<div class="panel-body">
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<!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
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<ul>
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<li> Work and Discussion of project 3</li>
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</ul>
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<ol>
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<li> Work on and discussions of project 3</li>
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</ol>
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</div>
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<div class="panel panel-default">
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<div class="panel-body">
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<!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
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<ul>
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<li> Thursday: Basics of decision trees, classification and regression algorithms and ensemble models</li>
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<li> Readings and Videos:
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<!-- * These lecture notes -->
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<p>Basics of decision trees, classification and regression algorithms and ensemble models </p>
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<ol>
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<li> Readings and Videos:
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<ol type="a"></li>
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<li> Lecture notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week46/ipynb/week46.ipynb" target="_self"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week46/ipynb/week46.ipynb</tt></a>
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<!-- * <a href="https://youtu.be/PMswUwhYa7k" target="_self">Video of lecture</a> -->
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<!-- * <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesNov16.pdf" target="_self">Whiteboard notes</a> --></li>
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<ul>
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<li> <a href="https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn" target="_self">Video on Decision trees</a></li>
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<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>
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</ul>
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</ul>
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<li> Video on Decision trees at <a href="https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn" target="_self"><tt>https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn</tt></a></li>
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<li> Decision Trees: Rashcka et al chapter 3 pages 86-98, and chapter 7 on Ensemble methods, Voting and Bagging and Gradient Boosting. See also lecture from STK-IN4300, lecture 7 at <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf" target="_self"><tt>https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf</tt></a>.</li>
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</ol>
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doc/pub/week46/html/week46-reveal.html

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@@ -198,34 +198,29 @@ <h4>Week 46, November 11-15</h4>
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<h2 id="plan-for-week-46">Plan for week 46 </h2>
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<div class="alert alert-block alert-block alert-text-normal">
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<b>Active learning sessions on Tuesday and Wednesday</b>
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<b>Lab sessions on Tuesday and Wednesday</b>
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<p>
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<ul>
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<p><li> Work and Discussion of project 3</li>
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</ul>
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<ol>
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<p><li> Work on and discussions of project 3</li>
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</ol>
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</div>
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<div class="alert alert-block alert-block alert-text-normal">
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<b>Material for the lecture on Monday November 11, 2024</b>
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<p>
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<ul>
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<p><li> Thursday: Basics of decision trees, classification and regression algorithms and ensemble models</li>
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<p>Basics of decision trees, classification and regression algorithms and ensemble models </p>
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<ol>
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<p><li> Readings and Videos:
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<!-- * These lecture notes -->
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<ol type="a"></li>
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<p><li> Lecture notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week46/ipynb/week46.ipynb" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week46/ipynb/week46.ipynb</tt></a>
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<!-- * <a href="https://youtu.be/PMswUwhYa7k" target="_blank">Video of lecture</a> -->
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<!-- * <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesNov16.pdf" target="_blank">Whiteboard notes</a> --></li>
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<ul>
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<p><li> <a href="https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn" target="_blank">Video on Decision trees</a></li>
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<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>
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</ul>
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<p><li> Video on Decision trees at <a href="https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn" target="_blank"><tt>https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn</tt></a></li>
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<p><li> Decision Trees: Rashcka et al chapter 3 pages 86-98, and chapter 7 on Ensemble methods, Voting and Bagging and Gradient Boosting. See also lecture from STK-IN4300, lecture 7 at <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf" target="_blank"><tt>https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf</tt></a>.</li>
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</ol>
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</ol>
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doc/pub/week46/html/week46-solarized.html

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<h2 id="plan-for-week-46">Plan for week 46 </h2>
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<div class="alert alert-block alert-block alert-text-normal">
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<b>Active learning sessions on Tuesday and Wednesday</b>
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<b>Lab sessions on Tuesday and Wednesday</b>
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<p>
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<ul>
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<li> Work and Discussion of project 3</li>
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</ul>
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<ol>
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<li> Work on and discussions of project 3</li>
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</ol>
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</div>
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<div class="alert alert-block alert-block alert-text-normal">
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<b>Material for the lecture on Monday November 11, 2024</b>
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<p>
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<ul>
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<li> Thursday: Basics of decision trees, classification and regression algorithms and ensemble models</li>
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<li> Readings and Videos:
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<!-- * These lecture notes -->
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<p>Basics of decision trees, classification and regression algorithms and ensemble models </p>
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<ol>
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<li> Readings and Videos:
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<ol type="a"></li>
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<li> Lecture notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week46/ipynb/week46.ipynb" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week46/ipynb/week46.ipynb</tt></a>
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<!-- * <a href="https://youtu.be/PMswUwhYa7k" target="_blank">Video of lecture</a> -->
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<!-- * <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesNov16.pdf" target="_blank">Whiteboard notes</a> --></li>
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<ul>
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<li> <a href="https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn" target="_blank">Video on Decision trees</a></li>
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<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>
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</ul>
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</ul>
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<li> Video on Decision trees at <a href="https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn" target="_blank"><tt>https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn</tt></a></li>
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<li> Decision Trees: Rashcka et al chapter 3 pages 86-98, and chapter 7 on Ensemble methods, Voting and Bagging and Gradient Boosting. See also lecture from STK-IN4300, lecture 7 at <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf" target="_blank"><tt>https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf</tt></a>.</li>
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</ol>
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</div>
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doc/pub/week46/html/week46.html

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<h2 id="plan-for-week-46">Plan for week 46 </h2>
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<div class="alert alert-block alert-block alert-text-normal">
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<b>Active learning sessions on Tuesday and Wednesday</b>
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<b>Lab sessions on Tuesday and Wednesday</b>
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<p>
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<ul>
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<li> Work and Discussion of project 3</li>
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</ul>
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<ol>
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<li> Work on and discussions of project 3</li>
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</ol>
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</div>
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<div class="alert alert-block alert-block alert-text-normal">
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<b>Material for the lecture on Monday November 11, 2024</b>
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<p>
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<ul>
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<li> Thursday: Basics of decision trees, classification and regression algorithms and ensemble models</li>
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<li> Readings and Videos:
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<!-- * These lecture notes -->
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<p>Basics of decision trees, classification and regression algorithms and ensemble models </p>
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<ol>
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<li> Readings and Videos:
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<ol type="a"></li>
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<li> Lecture notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week46/ipynb/week46.ipynb" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week46/ipynb/week46.ipynb</tt></a>
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<!-- * <a href="https://youtu.be/PMswUwhYa7k" target="_blank">Video of lecture</a> -->
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<!-- * <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesNov16.pdf" target="_blank">Whiteboard notes</a> --></li>
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<ul>
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<li> <a href="https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn" target="_blank">Video on Decision trees</a></li>
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<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>
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</ul>
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</ul>
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<li> Video on Decision trees at <a href="https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn" target="_blank"><tt>https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn</tt></a></li>
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<li> Decision Trees: Rashcka et al chapter 3 pages 86-98, and chapter 7 on Ensemble methods, Voting and Bagging and Gradient Boosting. See also lecture from STK-IN4300, lecture 7 at <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf" target="_blank"><tt>https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf</tt></a>.</li>
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</ol>
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</ol>
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