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UID:pretalx-pyconde-pydata-berlin-2023-8VYHKG@pretalx.com
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DESCRIPTION:Running machine learning models in a production environment bri
 ngs its own challenges. In this talk we would like to present our solution
  of a machine learning lifecycle for the text-based cataloging classificat
 ion system from idealo.de. We will share lessons learned and talk about ou
 r experiences during the lifecycle migration from a hosted cluster to a cl
 oud solution within the last 3 years. In addition\, we will outline how we
  embedded our ML components as part of the overall idealo.de processing ar
 chitecture.
DTSTAMP:20260413T171947Z
LOCATION:A1
SUMMARY:Machine Learning Lifecycle for NLP Classification in E-Commerce - G
 unar Maiwald\, Tobias Senst
URL:https://pretalx.com/pyconde-pydata-berlin-2023/talk/8VYHKG/
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