Adventures in Machine Learning
Monitoring and Evaluating Data Sets ft. Emeli Dral and Elena Samuylova - ML 049
Emeli Dral and Elena Samuylova joins the Adventure to discuss the tools they have built to monitor data quality to determine where data problems occur, what they mean, and how to fix them.
October 14, 2021
47:36
Episode 049
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Special Guests
Monitoring and Evaluating Data Sets ft. Emeli Dral and Elena Samuylova - ML 049
Adventures in Machine Learning
47:36
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47:36
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Show Notes
Emeli Dral and Elena Samuylova joins the Adventure to discuss the tools they have built to monitor data quality to determine where data problems occur, what they mean, and how to fix them.
Panel
- Ben Wilson
- Francois Bertrand
Guest
- Elena Samuylova
- Emeli Dral
Sponsors
Links
- Evidently AI
- When to Retrain an Machine Learning Model? Run these 5 checks to decide on the schedule
- GitHub | evidentlyai/evidently
- LinkedIn: Elena Samuylova
- Twitter: Elena Samuylova ( @elenasamuylova )
- LinkedIn: Emeli Dral
- Twitter: Emeli Dral ( @EmeliDral )
Contact Ben:
- Databricks
- GitHub | BenWilson2/ML-Engineering
- GitHub | databrickslabs/automl-toolkit
- LinkedIn: Benjamin Wilson
Contact Francois:
Special Guests: Elena Samuylova and Emeli Dral.
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