Data Science #9 - The Unreasonable Effectiveness of Mathematics in Natural Sciences, Eugene Wigner episode artwork

EPISODE · Sep 10, 2024 · 1H 24M

Data Science #9 - The Unreasonable Effectiveness of Mathematics in Natural Sciences, Eugene Wigner

from Data Science Decoded · host Mike E

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

Episode metadata supplied by the publisher feed · Published Sep 10, 2024

Embed this episode

Ready to play

Data Science #9 - The Unreasonable Effectiveness of Mathematics in Natural Sciences, Eugene Wigner

0:00 1:24:32

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Data Science Decoded?

This episode is 1 hour and 24 minutes long.

When was this Data Science Decoded episode published?

This episode was published on September 10, 2024.

Can I download this Data Science Decoded episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!