Optimal Choices episode artwork

EPISODE · Dec 10, 2019 · 26 MIN

Optimal Choices

from The Erium Podcast – Data Science & Machine Learning

Wann ist es möglich mit Machine Learning optimal zu entscheiden? Und warum ist es überhaupt notwendig? Welche Schwierigkeiten hat das menschliche Denken, die Machine Learning nicht mit sich bringt? All diese Fragen beantwortet uns Theo Steininger in dieser Folge zu OPTIMAL CHOICES!Das Jupyter Notebook und das passende CSV-File findet ihr unter diesem Link: https://gitlab.com/the-erium-podcast/the-erium-podcast/tree/masterDer Beitrag Optimal Choices erschien zuerst auf The Erium Podcast - Data Science & Machine Learning.

Episode metadata supplied by the publisher feed · Published Dec 10, 2019

Embed this episode

NOW PLAYING

Optimal Choices

0:00 26:03

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 The Erium Podcast – Data Science & Machine Learning?

This episode is 26 minutes long.

When was this The Erium Podcast – Data Science & Machine Learning episode published?

This episode was published on December 10, 2019.

Can I download this The Erium Podcast – Data Science & Machine Learning episode?

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