Lecture
Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.
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.