# How does a Support Vector Machine (SVM) work?

_Last updated: 2026-07-20_  
_Reviewed by: Jason Burns, Editorial Steward_  
_Published by: AIDirectAnswers.com · Licensed under Citation License 1.0_

## Short answer

A Support Vector Machine finds the hyperplane that separates classes with the widest possible margin; for non-linear problems it uses the kernel trick to compute inner products in a higher-dimensional feature space without ever mapping the data there explicitly.

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_Author: [Jason Burns](https://www.linkedin.com/in/jason-randolph-burns), Editorial Steward_  
_Published: 2026-07-20 · Modified: 2026-07-20_  
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