Machine Learning, Svm, Support Vector Machine, Data Science, Kernel.
SVMs can still be made to work pretty well by using the right value of C. For data that’s not linearly separable, we can project data to a space where it is perfectly/almost linearly separable, which reduces the problem to 1 or 2 and we are back in business. It looks like a big part of what makes