DigiNews

Summary

A visual introduction to kernel functions in Gaussian processes. The post explains how kernels shape the inductive bias of GP models, covers several kernel types (Linear, Periodic, RBF, Rational Quadratic, Matérn), and demonstrates how combining kernels creates more complex representations, with visuals and a Colab notebook.