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Copy file name to clipboardExpand all lines: doc/src/week48/week48.do.txt
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!split
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===== Lecture Monday, November 25 =====
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!bblock Plans for the lecture Monday 25 November, with video suggestions etc
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===== Lecture Monday, November 24 =====
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!bblock Plans for the lecture Monday 24 November, with video suggestions etc
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o Boosting and gradient boosting and ensemble models
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o Summary of course
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o Readings and Videos:
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o These lecture notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week48/ipynb/week48.ipynb"
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o See also lecture notes from week 47 at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week47/ipynb/week47.ipynb". The lecture on Monday starts with a repetition on AdaBoost before we move over to gradient boosting with examples
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o Video of lecture at URL:"https://youtu.be/iTaRdAPQnDA"
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o Whiteboard notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesNovember25.pdf"
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# o Video of lecture at URL:"https://youtu.be/iTaRdAPQnDA"
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# o Whiteboard notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesNovember25.pdf"
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o Video on Decision trees URL:"https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn"
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o Video on boosting methods URL:"https://www.youtube.com/watch?v=wPqtzj5VZus&ab_channel=H2O.ai"
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o Video on AdaBoost URL:"https://www.youtube.com/watch?v=LsK-xG1cLYA"
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