Support Vector Machine, Machine Learning, Artificial Intelligence, Data Science, Ambarish 224.
predictive models. At a high level, SVMs work by finding the best boundary (or “hyperplane”) that separates the different classes in a dataset. This boundary is chosen in such a way that it maximizes the margin, which is the distance between the boundary and the closest data points from each class.