Data Science, Machine Learning, Algorithms, Support Vector Machine, Supervised Learning.
feature space, kernels bring a significant advantage. SVMs don’t actually compute the transformation of each observation into the augmented space. They use a trick and instead compute the inner product of observations in the augmented space which, computationally, is much cheaper. This is called