Lecture

Linear Regression: Regularization

In course

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Description

This lecture covers the concepts of linear regression, regularization, and probabilistic models. It explains the importance of least squares, regularization techniques, and probabilistic modeling in generating labels. The instructor discusses the significance of parameter values, Gaussian assumptions, and the goal of statistical analysis.

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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_w32p051k

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis, Cross-validation

Statistical inference: Mathematical statistics, Statistical hypothesis testing

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