Supervised machine learning is the problem of approximating functions X -> Y from many example (x, y) pairs. Now, the vast majority of supervised learning algorithms assume that X is p-dimensional Euclidean space. As I'll argue, this is a poor model for many problems, and modeling X as a JSON document fits much better.
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