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@@ -6,8 +6,15 @@ DATE: today
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===== Plans for week 35 =====
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* Review of ordinary Least Squares with applications. Discussion of Ridge and Lasso Regression and links with Singular Value Decomposition
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* Exercises and hands-on demonstrations
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The main topics are:
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o Repetition from last week on linear regression
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o Reminder on statistics with quantities like mean values, variance abd 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 Start discussing 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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@@ -18,15 +25,7 @@ DATE: today
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!split
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===== Topics of week 35 =====
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The main topics are:
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o Repetition from last week on linear regression
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o Reminder on statistics with quantities like mean values, variance abd 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 Start discussing Ridge and Lasso regression and Singular Value Decomposition
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