Feature Maps and Kernels

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.