updatng week 46
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TITLE: Week 46: Support Vector Machines
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TITLE: Week 46: Gradient Boosting Summary and Support Vector Machines
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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: today
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!split
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===== Overview of week 46 =====
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* _Thursday_: Summary of Gradient Boosting and further examples of applications.
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* _Friday_: Support Vector Machines, classification and regression
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Geron's chapter 5. Chapter 12 (sections 12.1-12.3 are the most relevant ones) of Hastie et al contains also a good discussion.
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"Overview of Support Vector Machines":"https://www.youtube.com/watch?v=efR1C6CvhmE&ab_channel=StatQuestwithJoshStarmer". see also "this video":"https://www.youtube.com/watch?v=N1vOgolbjSc&ab_channel=AliceZhao".
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!split
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===== Support Vector Machines, overarching aims =====
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@@ -1141,3 +1154,5 @@ With the slack constants this leads to the additional constraint $0\leq \lambda
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_code will be added_
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