update week 46
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@@ -6,18 +6,18 @@ DATE: Week 46, November 11-15
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!split
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===== Plan for week 46 =====
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!bblock Active learning sessions on Tuesday and Wednesday
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* Work and Discussion of project 3
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!bblock Lab sessions on Tuesday and Wednesday
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o Work on and discussions of project 3
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!eblock
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!bblock Material for the lecture on Monday November 11, 2024
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* Thursday: Basics of decision trees, classification and regression algorithms and ensemble models
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* Readings and Videos:
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# * These lecture notes
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Basics of decision trees, classification and regression algorithms and ensemble models
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o Readings and Videos:
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o Lecture notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week46/ipynb/week46.ipynb"
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# * "Video of lecture":"https://youtu.be/PMswUwhYa7k"
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# * "Whiteboard notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesNov16.pdf"
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* "Video on Decision trees":"https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn"
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* Decision Trees: Rashcka et al chapter 6, voting and bagging are discussed in chapter 7. See also lecture from "STK-IN4300, lecture 7":"https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf".
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o Video on Decision trees at URL:"https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn"
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o 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 URL:"https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf".
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!eblock
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