Intermediate · Data

Kernel method

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. A class of machine learning algorithms, like SVMs, that use a kernel function to transform data for pattern analysis.

Technical Definition

A class of machine learning algorithms, like SVMs, that use a kernel function to transform data for pattern analysis.

How it works

Kernel methods are a powerful set of machine learning algorithms, with Support Vector Machines (SVMs) being a prominent example. They work by implicitly mapping data into a higher-dimensional space using a kernel function, where linear separation or other patterns might become more apparent. This allows them to find complex relationships and perform tasks like classification, regression, and clustering that might not be visible in the original feature space.

Further Reading

• Wikipedia — Glossary of AI