Kernel Trick, Support Vector Machine, Svm, Machine Learning, Data Science.
kernel is to take data as input and transform it into the required form. Different SVM algorithms use different types of kernel functions. These functions can be different types. For example linear, nonlinear, polynomial, radial basis function (RBF), and sigmoid. A kernel is a similarity function.