Lecture

Kernel Regression: Basics and Applications

In course

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Description

This lecture covers the fundamentals of kernel regression, including the concept of kernels as alternative scalar products, the use of kernel regression for prediction, and the Representer Theorem. It also explores the curse of dimensionality in neural networks and the application of random features.

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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_0yo0d2hz

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Computer engineering

Computer architecture: Topics in computer architecture

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