Shaping Best Practices for Monitoring ML Models
Failed to add items
Add to basket failed.
Add to wishlist failed.
Remove from wishlist failed.
Adding to library failed
Follow podcast failed
Unfollow podcast failed
Shaping Best Practices for Monitoring ML Models
-
Narrated by:
-
By:
In this episode, host Peter Wang is joined by Elena Samuylova, CEO and Co-Founder of Evidently AI. Peter and Elena discuss how Evidently AI's open-source tooling is helping users monitor machine learning (ML) models, and why that's important.
Elena has found that Evidently AI's open-source approach is attractive to data scientists and ML engineers who are ramping up model maintenance, retraining, and monitoring efforts.
Peter and Elena also touch on:
- On-premises versus cloud-based deployment
- ML model monitoring best practices
- The value of pipeline testing
- And more!
You can find a human-verified transcript of this episode here. - https://know.anaconda.com/rs/387-XNW-688/images/ANACON_%20Elena%20Samuylova_%20HVT.docx.pdf
If you enjoyed today's show, please leave a 5-star review. For more information, visit anaconda.com/podcast.
#ML #AI #Data #DataScience #Analytics