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SUMMARY:Full-stack Machine Learning for Data Scientists - Savin Goyal\, Hu
 go Bowne-Anderson
DTSTART;TZID=America/Chicago:20230710T080000
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DTSTAMP:20261015T193536Z
UID:pretalx-2023-DDJTZL@cfp.scipy.org
DESCRIPTION:One of the key questions in modern data science and machine le
 arning\, for businesses and practitioners alike\, is how do you move machi
 ne learning projects from prototype and experiment to production as a repe
 atable process. In this workshop\, we present an introduction to the lands
 cape of production-grade tools\, techniques\, and workflows that bridge th
 e gap between laptop data science and production ML workflows.
LOCATION:Classroom 106
URL:https://cfp.scipy.org/2023/talk/DDJTZL/
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