support vector machine

A Support Vector Machine (SVM) is a machine learning method used to categorize data into different groups. Imagine plotting data points on a graph; SVM finds the best possible line (or boundary) that separates these groups with the widest margin, meaning it maximizes the distance between the line and the closest points from each group. These closest points are called support vectors and are crucial for defining the boundary. SVMs work well for both simple and complex data by transforming data into higher dimensions when needed, creating clear separations even in challenging cases.