LM101-012: How to Evaluate the Ability to Generalize from Experience (Cross-Validation Methods) episode artwork

EPISODE · Sep 9, 2014 · 32 MIN

LM101-012: How to Evaluate the Ability to Generalize from Experience (Cross-Validation Methods)

from Learning Machines 101

In this episode we discuss the problem of how to evaluate the ability of a learning machine to make generalizations and construct abstractions given the learning machine is provided a finite limited collection of experiences. 

Episode metadata supplied by the publisher feed · Published Sep 9, 2014

Embed this episode

NOW PLAYING

LM101-012: How to Evaluate the Ability to Generalize from Experience (Cross-Validation Methods)

0:00 32:50

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.

Frequently Asked Questions

How long is this episode of Learning Machines 101?

This episode is 32 minutes long.

When was this Learning Machines 101 episode published?

This episode was published on September 9, 2014.

Can I download this Learning Machines 101 episode?

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