Rethinking ML Monitoring - ML 060

Mo’ advancements mean mo’ problems, and today, Michael and Ben are diving into the biggest issues of ML monitoring in 2022. They lay out the ELEVEN (cause nothing good comes easy) potential pitfalls that you should know this year, the important questions that you NEED to ask yourself before launching your baby, and this ONE phenomenon that reveals a fundamental flaw in models versus the real deal. In This Episode The checklist of ELEVEN problems with ML monitoring that you need to consider in 2022Why THIS is inevitable with ML monitoring no matter what (and why it’s not the end of the world…unless you make it)Before you make an assumptions about your model, ask yourself THESE questions and tread carefullyThis ONE phenomenon that reveals a HUGE flaw in models vs. real world Sponsors Top End DevsCoaching | Top End DevsSponsored By:Coaching | Top End Devs: Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your DreamsTop End Devs: Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how.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.