update week 35
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@@ -10,13 +10,14 @@ The main topics are:
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o Brief repetition from last week
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o Reminder on statistics with quantities like mean values, variance and covariance
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o Discussion of how to prepare data and examples of applications of linear regression
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o Mathematical interpretations of Linear Regression
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o Discussion on how to prepare data and examples of applications of linear regression
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o Mathematical interpretations of linear regression
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o Ridge and Lasso regression and Singular Value Decomposition
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=== Reading recommendations: ===
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o See lecture notes for week 35 at URL:"https://compphysics.github.io/MachineLearning/doc/web/course.html"
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o For a review on statistics see jupyter-book URL:"https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/statistics.html", the most relevant parts are covered by sections 1.1.1-1.1.5
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o HTF chapter 3. GBC chapters 1 and and sections 3.1-3.11 and 5.1
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