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Support vector machines (SVMs) are powerful yet flexible supervised machine learning algorithm which is used for both classification and regression. But generally, they are used in classification problems.

A support vector machine constructs a hyper-plane or set of hyper-planes in a high or infinite dimensional space, which can be used for classification, regression or other tasks.

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised max-margin models with associated learning algorithms that analyze data for classification and …

Apr 21, 2025 · A Support Vector Machine (SVM) is a machine learning algorithm used for classification and regression. This finds the best line (or hyperplane) to separate data into groups, maximizing the …

Mar 25, 2020 · Support Vector Machine (SVM) is a supervised machine learning algorithm used for classification and regression tasks. It is widely applied in fields like image recognition, text …

Jul 1, 2023 · Support Vector Machines (SVMs) are a type of supervised machine learning algorithm used for classification and regression tasks.