Credit: Data Science Central
SVMs (Support Vector Machines) are a way to classify data by finding the optimal plane or hyperplane that separates the data. In 2D, the separation is a plane; In higher dimensions, it’s a hyperplane. For simplicity, the following picture shows how SVM works for a two-dimensional set.
An Idiot’s Guide to SVMs
Support Vector Machines
Intro to Support Vector Machines