Machine Learning, Svm, Support Vector Machine, Data Science, Kernel.
and Sigmoid. When we don’t use a projection (as in our first example in this article), we compute the dot products in the original space — this we refer to as using the linear kernel. Many of these kernels give you additional levers to further tune it for your data. For example, the polynomial