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UID:pretalx-europython-2023-EATNFR@programme.europython.eu
DTSTART;TZID=CET:20230719T160500
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DESCRIPTION:As the number of production machine learning use-cases increase
 \, we find ourselves facing new and bigger challenges where more is at sta
 ke. Because of this\, it's critical to identify the key areas to focus our
  efforts\, so we can ensure our machine learning pipelines are reliable an
 d scalable. In this talk we dive into the state of production machine lear
 ning\, and we will cover the concepts that make production machine learnin
 g so challenging\, as well as some of the recommended tools available to t
 ackle these challenges.
DTSTAMP:20260418T094804Z
LOCATION:South Hall 2A
SUMMARY:The State of Production Machine Learning in 2023 - Alejandro Sauced
 o
URL:https://programme.europython.eu/europython-2023/talk/EATNFR/
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