What is RBF & Kernels?

Kernel methods and radial basis functions. RBF & Kernels is a advanced machine learning algorithm used for finding optimal decision boundaries. Before learning RBF & Kernels, you should understand: svm, taylor-series. Real-world applications include: Non-linear SVM, Function approximation, Gaussian processes. This is an advanced topic requiring solid prerequisites.