Linear and Ridge Regression

In course

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Description

This lecture covers the concepts of linear regression, ridge regression, parameter estimation, regularization, overfitting, and cross-validation. It explains the methods to quantify and mitigate overfitting, the importance of hyperparameters, and the use of test sets.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_ztk7le4d

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis, Cross-validation

Statistical inference: Mathematical statistics

Mathematics

Probability theory: Topics in probability theory

Logic

Classical logic: First-order logic

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