Feature Maps and Kernels

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Description

This lecture covers the concept of feature maps, the Representer theorem, kernels, and Reproducing Kernel Hilbert Spaces (RKHS). It explains how any vector can be written as a combination of feature vectors in a high-dimensional space, providing a theoretical foundation for machine learning algorithms.

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https://mediaspace.epfl.ch/media/0_enoih26e

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