Support Vector Machine (SVM)

Support Vector Machine (SVM) is a supervised machine learning algorithm primarily used for classification tasks, although it can be used for regression as well. It works by finding the hyperplane that best divides a dataset into classes.

SVM in Classification Tasks

The strength of SVM lies in its ability to handle non-linear data using kernel tricks and its effectiveness in high-dimensional spaces. It's widely used in areas like image classification, bioinformatics, and text categorization.