Lecture

Logistic Regression: Cost Functions & Optimization

In course

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Description

This lecture covers the concept of logistic regression, focusing on different cost functions like quadratic and absolute costs, the gradient descent algorithm, and the choice of steplength. It also explains the use of the logistic sigmoid function for probability modeling and the cross entropy cost function for optimization.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_qv35kk4l

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Information engineering

Machine learning: Artificial neural networks

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