Meaning of SVM (Support Vector Machine)

Simple definition

Support Vector Machine (SVM) is a machine learning algorithm used for classification and regression tasks by finding a hyperplane that best separates data points into classes.

How to use SVM (Support Vector Machine) in a professional context

SVMs are applied in text classification, image recognition, and bioinformatics due to their high accuracy for small datasets.

Concrete example of SVM (Support Vector Machine)

An SVM model classifies emails as spam or not spam based on features like word frequency and email length.