Testing ML systems
Podcast: Practical AIPublished On: Mon Jan 27 2020
Description: Production ML systems include more than just the model. In these complicated systems, how do you ensure quality over time, especially when you are constantly updating your infrastructure, data and models? Tania Allard joins us to discuss the ins and outs of testing ML systems. Among other things, she presents a simple formula that helps you score your progress towards a robust system and identify problem areas.Featuring:Tania Allard – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:“What’s your ML score” talk“Jupyter Notebooks: Friends or Foes?” talkJoel Grus’s episode: “AI code that facilitates good science”PapermillnbdevnbvalBooks“DevOps For Dummies” by Emily FreemanUpcoming Events: Register for upcoming webinars here!
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