Generalized Linear Regression

In course

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Description

This lecture covers the concept of generalized linear regression, including the 0-1 loss, square loss, LASSO regularization, and probabilistic models for data generation. It also delves into logistic regression, multiclass classification, and the workhorse of machine learning, the gradient descent algorithm.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_knfmcm3c

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis, Cross-validation

Information engineering

Machine learning: Topics in machine learning, Artificial neural networks

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