What's the "kernel trick" and how is it useful?
Kernel trick involves kernel functions which enable higher dimension spaces without actually calculating the coordinates within that dimension. It uses the inner products between the images of all pairs data in a feature space. This allows the calculation of coordinates of higher dimensions with low dimensional data.
