Support Vector Machines Trend 2026

A supervised learning algorithm, Support Vector Machines (SVM) classify data by finding the optimal hyperplane that separates categories. It works by mapping inputs into high-dimensional space to maximize class margins. Data scientists and machine learning engineers use SVM for tasks like text classification, image recognition, and bioinformatics, benefiting industries needing precise pattern recognition.