Feature Selection, Kernel Regression, Neural Networks Playground

In course

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Description

This lecture covers feature selection, kernel regression, and neural networks through exercises. It includes topics such as decision boundaries, feature engineering, kernel ridge regression, and artificial neural networks with various datasets and activation functions.

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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_4e474voa

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

Statistics

Data analysis: Regression analysis

Statistical inference: Non-parametric statistics

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