Lecture

Kernel Regression

In course

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Description

This lecture covers the concept of kernel regression, focusing on making data linearly separable by adding features and using local methods. It explains the curse of dimensionality and the process of making data linearly separable by adding features.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_rseg12ro

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