In other words, the argument "deep learning is overhyped; there are things it will remain fundamentally unable to do because it's just a GFR" has a specific meaning, it's not handwaving that would apply to any learning system
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So, in summary: You better have a Good Friggin Reason for machine learning?

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It's highly unlikely that this is an appropriate summary.
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I’d already been a fan of unification of models in the
#AI space but after starting my first read thru#TheMasterAlgorithm I’m even more intrigued. DL is not the one great solution but it is certainly part of the solution.Thanks. Twitter will use this to make your timeline better. UndoUndo
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If by regression one refers to regressing outcomes on predictors, well, maybe. In reality of course deep learning has nothing to do with OLS.
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I still believe that it is a brute Force memorization techniques. The semantics at play for memorization and learning does not change this.
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Is that the case for deep reinforcement learning as well?
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What about giant fancy parameter search?
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