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DTSTART:20260329T030000
RDATE:20270328T030000
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SUMMARY:The Annual Scikit-learn Ecosystem Report: State of the World's Mos
 t Used Machine Learning Library - Yann Lechelle\, Gaël Varoquaux
DTSTART;TZID=Europe/Paris:20261125T100500
DTEND;TZID=Europe/Paris:20261125T103500
DTSTAMP:20260930T120805Z
UID:pretalx-compute-paris-2026-ETHXZX@pretalx.com
DESCRIPTION:Scikit-learn powers machine learning for millions of data scie
 nce practitioners\, yet the story of the pulse and trajectory of the proje
 ct is rarely told in one place. In this inaugural edition of the Annual Sc
 ikit-learn Ecosystem Report\, Yann Lechelle presents a panoramic view of t
 he ecosystem: the year's major technical achievements – including the 1.
 9 release with callbacks\, ongoing Array API support\, and scikit-learn ce
 ntral skills – alongside the\npriorities shaping the year ahead. The rep
 ort draws on interviews with core maintainers\, contributors\, and stakeho
 lders across upstream and downstream libraries\, and spotlights grants lik
 e the NASA ROSES award\, strategic partnerships with NVIDIA and Intel\, an
 d three industry use cases. The session closes with a fireside chat with s
 cikit-learn co-founder Gaël Varoquaux on the past\, present\, and future 
 of open source machine learning.
LOCATION:Auditorium
URL:https://pretalx.com/compute-paris-2026/talk/ETHXZX/
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