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. Panel Ben WilsonFrancois Bertrand Guest Elena SamuylovaEmeli Dral Sponsors Dev Influencers AcceleratorLevel Up | Devchat.tvPodcastBootcamp.io Links Evidently AIWhen to Retrain an Machine Learning Model? Run these 5 checks to decide on the scheduleGitHub | evidentlyai/evidentlyLinkedIn: Elena SamuylovaTwitter: Elena Samuylova ( @elenasamuylova )LinkedIn: Emeli DralTwitter: Emeli Dral ( @EmeliDral ) Contact Ben: DatabricksGitHub | BenWilson2/ML-EngineeringGitHub | databrickslabs/automl-toolkitLinkedIn: Benjamin Wilson Contact Francois: Francois BertrandGitHub | 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! Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.