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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.
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Something missing or broken? PRs welcome!
By Changelog Media4.4
2929 ratings
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.
Join the discussion
Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!
Featuring:
Show Notes:
Something missing or broken? PRs welcome!

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