Nov 13, 2025 · Support Vector Machine (SVM) is a supervised machine learning algorithm used for classification and regression tasks. It tries to find the best boundary known as hyperplane …

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 …

A support vector machine (SVM) is a supervised machine learning algorithm that classifies data by finding an optimal line or hyperplane that maximizes the distance between each class in an …

Jun 5, 2018 · What is Support Vector Machine? The objective of the support vector machine algorithm is to find a hyperplane in an N-dimensional space (N — the number of features) that …

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

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 …

Sep 2, 2022 · They offer a sophisticated machine learning algorithm to process linear and non-linear data through kernels. SVMs find applications in every domain and real-life scenarios …

Nov 25, 2024 · A support vector machine (SVM) is a type of supervised learning algorithm used in machine learning to solve classification and regression tasks. SVMs are particularly good at …

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 …