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doc/src/week46/week46.do.txt

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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 11-15
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DATE: Week 46, November 10-14
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o Work on and discussions of project 3
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!bblock Material for the lecture on Monday November 11, 2024
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!bblock Material for the lecture on Monday November 10, 2025
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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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o Video of lecture at URL:"https://youtu.be/TfRKUfdJwB4"
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o Whiteboard notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesNovember11.pdf"
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# o Video of lecture at URL:"https://youtu.be/TfRKUfdJwB4"
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# o Whiteboard notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesNovember11.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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