Monitoring and Evaluating Data Sets ft. Emeli Dral and Elena Samuylova - ML 049

Adventures in Machine Learning

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

• Dev Influencers Accelerator
• Level Up | Devchat.tv
• PodcastBootcamp.io

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:

• Francois Bertrand
• GitHub | fbdesignpro/sweetviz

Special Guests: Elena Samuylova and Emeli Dral.Sponsored By:

• 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.
• Podcast Bootcamp: Launch an Amazing Sounding Podcast in just 4 WEEKS! Work with a 13 year podcasting veteran to get your podcast started off on the right foot!

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