Learning with Kernels

Feb 6, 2025 · 1 min read
Random Fourier Features

This project provides a comprehensive introduction to kernel methods in machine learning. It covers the theoretical foundations as well as practical aspects such as Support Vector Machines (SVMs) and scalable techniques like Random Fourier Features.

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Machine Learning Kernel Methods Python
Tim Tomov
Authors
Tim Tomov
PhD Student in Machine Learning