Support Vector Machine, Kernel Trick, Svm, Soft Margin Svm, Kernel.
a 2-dimensional space (the pixel values of the images). However, the data is not linearly separable in this space. This means that we cannot find a hyperplane that perfectly separates the cats and dogs. We can use the kernel trick to map the data points to a higher dimensional space where they