Machine Learning, Data Science, Statistics, Mathematics, Data.
represented by the arrows. Support vector machines are much harder to interpret in higher dimensions. It is much harder to visualize how the data can be linearly separable, and what the decision boundary will look like. A hyperplane in p-dimensions is a p-1 dimensional “flat” subspace that lies