baumhaus.digital/Art, Cognition, Education/Human and Machine Learning/Supervised learning/Classifiers/Support Vector Machines
A Support Vector Machine (SVM) is a machine learning method that helps divide data into categories. Imagine drawing a line (or boundary) on a graph to separate different groups of points, like cats and dogs. SVM finds the best line that keeps the groups as far apart as possible. For trickier data, it can use special math (called kernels) to draw curves or work in higher dimensions.
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