This would not be a pedagogic machine learning blog if I did not go into some overly abstract formalism…here we introduce the Kernel formalism using
Author: Charles H Martin, PhD
Machine Learning Enthusiast and Consultant
Dimensional Reduction via an Effective Operator
Introduction Frequently in science, simple models work well beyond their expected range of accuracy and application, and can be essential to provide intuition and insight.
Kernels Part 2: Affine Quantum Gravity, continued
What is a Kernel? Really? What is the actual mathematical motivation? Most machine learning texts introduce the Kernel as some horribly abstract , infinite,
Kernels Part 2: Affine Quantum Gravity
Coming from Physics / Physical Chemistry, where Hilbert Spaces and Green’s Functions are everywhere, and the notation is just Dirac Notation, it is sometimes hard
Kernels Part 1: What is an RBF Kernel? Really?
My first blog on machine learning is to discuss a pet peeve I have about working in the industry, namely why not to apply an