Machine Learning, Data Science, Statistics, Mathematics, Data.
of the kernel trick is that the objective function we are optimizing to fit the higher dimensional decision boundary only includes the dot product of the transformed feature vectors. Therefore, we can just substitute these dot product terms with the kernel function, and we don’t even use ϕ(x). In