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... because people understand things about what is described when dealing with such systems in physics, and people don't understand how the weights in ML learned NNs produce the overall behavior? (For one thing, the number of parameters is much greater with the NNs)


Looking at Navier-Stokes equations tells you very little about the weather tomorrow.


Sure. It does tell you things about fluids though.




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