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There's a fairly simple difference that causes these holy wars. Machine learning likes to make distribution-free models. Statistics likes to study which distr
by eli_gottlieb 9y ago
There's a fairly simple difference that causes these holy wars. Machine learning likes to make distribution-free models. Statistics likes to study which distributions we can approximately fit to data, or falsify powerfully for data.
- shmageggy 9y agoWhat do you mean by distribution-free? Because there's still all of the Bayesian forms of machine learning, and even withing neural networks a lot of work is based around distributions (see generative NNs like variational autoencoder).
- eli_gottlieb 9y agoProbabilistic machine learning is usually considered to be mostly statistics. The two classes aren't separated cleanly by a high-margin hyperplane, but we can clearly see the structure within the clustering ;-).