Artwork

Content provided by Erik Partridge. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Erik Partridge or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Empirical Risk Minimization

0:38
 
Share
 

Manage episode 311996331 series 3211418
Content provided by Erik Partridge. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Erik Partridge or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

The concept of empirical risk minimization drives modern approaches to training many machine learning algorithms, including deep neural networks. Today's thirty second summary covers the basics of what you need to know, but the concept goes well beyond just the simple case we discuss today. If you are looking to discuss the topic further, please consider joining the conversation on Twitter.

Lecture notes from Carnegie Mellon University (no affiliation).

--- Send in a voice message: https://podcasters.spotify.com/pod/show/mlbytes/message

  continue reading

6 episodes

Artwork
iconShare
 
Manage episode 311996331 series 3211418
Content provided by Erik Partridge. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Erik Partridge or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

The concept of empirical risk minimization drives modern approaches to training many machine learning algorithms, including deep neural networks. Today's thirty second summary covers the basics of what you need to know, but the concept goes well beyond just the simple case we discuss today. If you are looking to discuss the topic further, please consider joining the conversation on Twitter.

Lecture notes from Carnegie Mellon University (no affiliation).

--- Send in a voice message: https://podcasters.spotify.com/pod/show/mlbytes/message

  continue reading

6 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide