Lecture

Gradient Descent: Linear Regression

Description

This lecture covers the concept of gradient descent for linear regression, explaining the iterative process of updating parameters to minimize the loss function. It also discusses the challenges of choosing a suitable learning rate and the impact of scaling the loss function on the gradient descent process.

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Official source

https://mediaspace.epfl.ch/media/0_z7kgydqi

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis, Cross-validation

Information engineering

Machine learning: Artificial neural networks, Topics in machine learning

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