dirty secret: most people/companies that say they're doing "machine learning" are really just creating parameterized models, using "training" data to optimize the parameters, and then using those optimal parameters to make "predictions"
#DontBelieveTheHype
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I can't find any real difference between ML and stats. It's just that statistician's curricula usually focus on small data inference, but that's it really. When they move on to big data in industry, they just take the probabilistic route to ML.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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