Lecture

Regularization in Machine Learning

Description

This lecture covers the concept of regularization in machine learning, focusing on techniques like Ridge Regression and the Lasso to prevent overfitting by constraining model parameters. It also discusses examples of regularization and the impact of regularization on model flexibility and parameter values.

Official source

https://mediaspace.epfl.ch/media/0_fs51z0dd

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis, Cross-validation

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