Machine Learning, Svm, Support Vector Machine, Data Science, Kernel.
claim this kernel function gives me the same result: We take the dot product of the vectors in the original space first, and then square the result. Let expand it out and check whether my claim is indeed true: It is. How many operations does this need? Look at step (2) above. To compute the dot