Lecture

Kernel Regression: K-nearest Neighbors

In course

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Description

This lecture covers the concept of kernel regression, focusing on K-nearest neighbors and the use of kernels to make data linearly separable by adding features. It explains the process step by step, from the basics of K-nearest neighbors to the application of different kernels for regression and classification.

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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_akf7zlmg

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Statistical inference: Non-parametric statistics

Mathematics

Analysis: Tensor analysis

Algebra: Linear algebra

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