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Data Science #9 - The Unreasonable Effectiveness of Mathematics in Natural Sciences, Eugene Wigner
In this special episode, Daniel Aronovich joins forces with the 632 nm podcast.
In this timeless paper Wigner reflects on how mathematical concepts, often developed independently of any concern for the physical world, turn out to be remarkably effective in describing natural phenomena.
This effectiveness is "unreasonable" because there is no clear reason why abstract mathematical constructs should align so well with the laws governing the universe.
Full paper is at our website:
https://datasciencedecodedpodcast.com/episode-9-the-unreasonable-effectiveness-of-mathematics-in-natural-sciences-eugene-wigner-1960
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By Mike E
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In this special episode, Daniel Aronovich joins forces with the 632 nm podcast.
In this timeless paper Wigner reflects on how mathematical concepts, often developed independently of any concern for the physical world, turn out to be remarkably effective in describing natural phenomena.
This effectiveness is "unreasonable" because there is no clear reason why abstract mathematical constructs should align so well with the laws governing the universe.
Full paper is at our website:
https://datasciencedecodedpodcast.com/episode-9-the-unreasonable-effectiveness-of-mathematics-in-natural-sciences-eugene-wigner-1960
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