update week 46
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TITLE: Week 46: Decision Trees, Ensemble methods and Random Forests
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AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics, University of Oslo & Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University
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DATE: Week 46, November 13-17
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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 2
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* Discussion of project 3 as well
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!eblock
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* Work and Discussion of project 3
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!eblock
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!bblock Material for the lecture on Thursday November 16, 2023
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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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* "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 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: Geron's chapter 6 covers decision trees while ensemble models, 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". Chapter 9.2 of Hastie et al contains also a good discussion.
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!eblock
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