Lecture

Support Vector Regression: Kernel Tricks

Description

This lecture covers the concepts of Ridge and SVR regression, focusing on the kernel trick for non-linear regression. Topics include the uniqueness of solutions in ridge regression, computational growth factors, and the transformation of problems using the kernel trick in SVR. The lecture also delves into the impact of polynomial kernels on regression accuracy and the comparison of different regression models.

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Official source

https://mediaspace.epfl.ch/media/0_nw7zbwz6

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Information engineering

Machine learning: Topics in machine learning

Mathematics

Algebra: Linear algebra

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