Machine Learning, Svm, Support Vector Machine, Data Science, Kernel.
SVMs universally applicable is projecting it to higher dimensions. And this is where kernels come in. First, a slight digression. A very surprising aspect of SVMs is that in all of the mathematical machinery it uses, the exact projection, or even the number of dimensions, doesn’t show up. You could