Adventures in Machine Learning
Technology
Monitoring and Evaluating Data Sets ft. Emeli Dral and Elena Samuylova - ML 049
2021-10-14
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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
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- Ben Wilson
- Francois Bertrand
- Elena Samuylova
- Emeli Dral
- Dev Influencers Accelerator
- Level Up | Devchat.tv
- PodcastBootcamp.io
- 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 )
- Databricks
- GitHub | BenWilson2/ML-Engineering
- GitHub | databrickslabs/automl-toolkit
- LinkedIn: Benjamin Wilson
- Francois Bertrand
- GitHub | fbdesignpro/sweetviz
- Top End Devs Coaching: If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.
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Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
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