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 …

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 …

What are support vector machines (SVMs)? What are SVMs? A support vector machine (SVM) is a supervised machine learning algorithm that classifies data by finding an optimal line or …

Jun 5, 2018 · Support Vector Machine, abbreviated as SVM can be used for both regression and classification tasks. But, it is widely used in classification objectives. What is Support Vector …

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 …

Mar 11, 2025 · SVM algorithms, or support vector machine algorithms, are tools for artificial intelligence and machine learning to classify data points and determine the best way to …