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Morten Hjorth-Jensen
2023-07-05 22:45:34 +02:00
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===== Plans for week 35 =====
* Review of ordinary Least Squares with applications. Discussion of Ridge and Lasso Regression and links with Singular Value Decomposition
* Exercises and hands-on demonstrations
The main topics are:
o Repetition from last week on linear regression
o Reminder on statistics with quantities like mean values, variance abd covariance
o Discussion of how to prepare data and examples of applications of linear regression
o Mathematical interpretations of Linear Regression
o Start discussing Ridge and Lasso regression and Singular Value Decomposition
=== Reading recommendations: ===
o See lecture notes for week 35 at URL:"https://compphysics.github.io/MachineLearning/doc/web/course.html"
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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!split
===== Topics of week 35 =====
The main topics are:
o Repetition from last week on linear regression
o Reminder on statistics with quantities like mean values, variance abd covariance
o Discussion of how to prepare data and examples of applications of linear regression
o Mathematical interpretations of Linear Regression
o Start discussing Ridge and Lasso regression and Singular Value Decomposition