Episode 39: What is L1-norm and L2-norm? episode artwork

EPISODE · Jul 19, 2018 · 21 MIN

Episode 39: What is L1-norm and L2-norm?

from Data Science at Home · host Francesco Gadaleta

In this episode I explain the differences between L1 and L2 regularization that you can find in function minimization in basically any machine learning model.  

Episode metadata supplied by the publisher feed · Published Jul 19, 2018

Embed this episode

NOW PLAYING

Episode 39: What is L1-norm and L2-norm?

0:00 21:55

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 at Home?

This episode is 21 minutes long.

When was this Data Science at Home episode published?

This episode was published on July 19, 2018.

Can I download this Data Science at Home episode?

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