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Neural networks add computational depth. So I would disagree with the statement that AI is just "stats rebranded". That's about as useful an analogy as saying
by sjg007 7y ago
Neural networks add computational depth. So I would disagree with the statement that AI is just "stats rebranded". That's about as useful an analogy as saying that statistics in practice is just applied linear algebra.
- codesushi42 7y agoDefine computational depth. Non linearity? Parallelizable? Computational depth sounds like hyperbole. You're still approaching stats problems with the same methodologies. Your just using NNs as your optimizer.
- sjg007 7y agoIf you are interested, I would suggest reading up on the https://en.wikipedia.org/wiki/Universal_approximation_theorem https://en.wikipedia.org/wiki/Universal_approximation_theore...
- 6gvONxR4sf7o 7y agoThere are theorems like that for polynomials and fourier series and all sorts of other function classes too. They are just as practically relevant (or irrelevant).
- sjg007 7y agoSure... I mean it is matrices all the way down but the claim that AI (e.g. deep learning) is just applied statistics is disingenuous.