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Morten Hjorth-Jensen
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TITLE: Week 46: Decision Trees, Ensemble methods and Random Forests
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
DATE: Week 46, November 11-15
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
!bblock Material for the lecture on Monday November 10, 2025
Basics of decision trees, classification and regression algorithms and ensemble models
o Readings and Videos:
o Lecture notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week46/ipynb/week46.ipynb"
o Video of lecture at URL:"https://youtu.be/TfRKUfdJwB4"
o Whiteboard notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesNovember11.pdf"
# o Video of lecture at URL:"https://youtu.be/TfRKUfdJwB4"
# o Whiteboard notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesNovember11.pdf"
o Video on Decision trees at URL:"https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn"
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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