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UID:pretalx-cfp-RX3QWD@nyc2024.pydata.org
DTSTART;TZID=US/Eastern:20241108T152000
DTEND;TZID=US/Eastern:20241108T160000
DESCRIPTION:PyNomaly's Local Outlier Probability (LoOP) implementation prov
 ides interpretable and reliable detection capabilities for classical anoma
 ly types in Python for both static and streaming data.
DTSTAMP:20250709T215041Z
LOCATION:Central Park East
SUMMARY:Interpretable Anomaly Detection for Numerical Data in Python Using 
 PyNomaly - Valentino Constantinou\, Ekin Tiras
URL:https://nyc2024.pydata.org/cfp/talk/RX3QWD/
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