How do support vector machines (SVM) work?
A support vector machine (SVM) is a type of Machine Learning algorithm. It classifies data by finding the best line or hyperplane. This line maximizes the distance between each class in an N-dimensional space. SVMs were created in the 1990s by Vladimir N. Vapnik and his team. They are used in Artificial Intelligence and Deep…
