Machine Learning, Svm, Support Vector Machine, Data Science, Kernel.
two dimensions, it must be noted that SVMs work in any number of dimensions; and in these dimensions, they find the analogue of the two-dimensional line. For example, in three dimensions they find a plane (we will see an example of this shortly), and in higher dimensions they find a hyperplane — a