Machine Learning, Data Science, Statistics, Mathematics, Data.
However, I will attempt to do the following: briefly introduce support vector classification visualize some non-linear transformations in the context of support vector classification introduce the idea that the benefit of the kernel trick in training support vector classifiers lies in a unique data