Also known as: SVM
SVM (Support Vector Machine) is a supervised learning method used for classification and regression. It seeks a decision boundary, often a hyperplane, that separates classes with a maximum margin and can use kernel methods for nonlinear patterns.
In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms that analyze data used for classification and regression.