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TITLE: Week 36: Linear Regression and Statistical interpretations
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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: September 2-6, 2024
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AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics, University of Oslo, Norway
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DATE: September 1-5, 2025
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* Linear Regression, ordinary least squares, Ridge and Lasso and links with Statistics
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* Recommended Reading: Goodfellow et al chapter 3 (till 3.11) on probability theory, see URL:"https://www.deeplearningbook.org/"
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* Raschka et al, chapter 4 pages 105-134 and chapter 6 pages 171-185. Chapter 4 and 6 contain many useful hints which will also be relevant for the various projects as well.
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* "Video of lecture":"https://youtu.be/oHjqjUB36KE"
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* "Whiteboard notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember2.pdf"
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# * "Video of lecture":"https://youtu.be/oHjqjUB36KE"
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# * "Whiteboard notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember2.pdf"
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* Material for the active learning sessions on Tuesday and Wednesday
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* Summary from last week on discussion of SVD, Ridge and Lasso linear regression.
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* Raschka et al, chapter 4 pages 105-134 and chapter 6 pages 171-185. Chapter 4 and 6, as for the lecture discussion
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* Presentation and discussion of first project
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* "Video of lab session":"https://youtu.be/ZrIdZdZtHe0"
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# * "Video of lab session":"https://youtu.be/ZrIdZdZtHe0"
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===== Material for lecture Monday September 2 =====

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