Support Vector Machine, Machine Learning, Artificial Intelligence, Data Science, Ambarish 224.
into a new space, where the data points become linearly separable. B. Discussion of different types of kernels and how to choose an appropriate kernel for a given problem: There are various types of kernel functions that can be used for nonlinear SVM classification, such as: Polynomial kernel