Support Vector Machine, Kernel Trick, Svm, Soft Margin Svm, Kernel.
become linearly separable. The kernel function that we use will depend on the specific data that we are working with. Conclusion The kernel trick sounds like a “perfect” plan in cases of high dimensional data. However, one critical thing to keep in mind is that when we map data to a higher