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UID:pretalx-pyconde-pydata-2024-WNHAG8@pretalx.com
DTSTART;TZID=CET:20240422T121500
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DESCRIPTION:Data valuation techniques compute the contribution of training 
 points to the final performance of machine learning models. They are part 
 of so-called data-centric ML\, with immediate applications in data enginee
 ring like data pruning or improved collection processes\, and in model deb
 ugging and development. In this talk we demonstrate how the open source li
 brary [pyDVL](https://pydvl.org) can be used to detect mislabeled and out-
 of-distribution samples with little effort. We cover the core ideas behind
  the most successful algorithms and illustrate how they can be used to ins
 pect your data to extract the most out of it.
DTSTAMP:20260315T111501Z
LOCATION:B07-B08
SUMMARY:Data valuation for machine learning - Miguel de Benito Delgado\, Kr
 istof Schröder
URL:https://pretalx.com/pyconde-pydata-2024/talk/WNHAG8/
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