Weirdly I sort of disagree with this. I think computation — working out examples, for example — is, while not all of mathematics, a huge proportion of it.https://twitter.com/bourne_2_learn/status/1263684774423662592 …
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Nothing truer has been said.
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An ex-Computer Science Prof. said to me today that one can’t make a significant contribution to the scientific community without bee rigorous math and low level details....keras comes to mind
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More accurate
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Poems are the Gödel sentences of language.
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I have been getting a bit existential Deep learning for me it it applied mathematics at its finest. Deep learning is taking data and forging a key to a dataset- finding such through training examples- not always successful like the brain is merely a compendium of learned examples
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Agree with
@fchollet. It's the reason I love mathematics. Can understand the world better.Thanks. Twitter will use this to make your timeline better. UndoUndo
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My preferred analogy would me: Mathematics is to computation as physics is to experimental physics.
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This one doesn't quite work for me because in mathematics you can be absolutely sure about a lot of things without performing a single computation which, I would argue, is not the case for physics and experiments. (Not arguing that computations aren't important though)
End of conversation
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