really nice visual, it'd be cool to see similar illustrations for areas of ML that do more than just separate classes based on a set of features, rather work with your data in more interesting ways (e.g., CNNs learning features, semi-supervised methods for training with unlabelled data, and subspace techniques like CCA that work on a projected version of your data).