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@@ -15,11 +15,11 @@ DATE: September 4-8, 2023
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* Linear Regression and links with Statistics
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* "Recommended Reading: Goodfellow et al chapter 3 on probability theory":"https://www.deeplearningbook.org/"
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* See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)
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* "Video of lecture":"https://youtu.be/Kc20CFK0z7Y"
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!split
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===== Material for the active learning sessions Tuesday and Wednesday =====
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The material here contains a summary from last Week and discussion of SVD, Ridge and Lasso regression with examples
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The material here contains a summary from last week and discussion of SVD, Ridge and Lasso regression with examples
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!split
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===== Linear Regression and the SVD =====
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