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SUMMARY:Moving from Offline to Online Machine Learning with River - Tun Sh
 we
DTSTART;TZID=Europe/Berlin:20240422T153500
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DTSTAMP:20260814T220550Z
UID:pretalx-pyconde-pydata-2024-G9S3MR@pretalx.com
DESCRIPTION:The foundations of machine learning were built on offline batc
 h processing techniques for model training and inference. As organisations
  become more dependent on real-time data\, the technological trend for mac
 hine learning in production is moving towards adding an online stream proc
 essing approach. This has benefits such as lower computational requirement
 s due to being able to incrementally learn from a stream of data points\, 
 which enables the continual upgrading of models by adapting to real-time c
 hanges in data. Learn how to get started on your online ML journey with Ri
 ver
LOCATION:A1
URL:https://pretalx.com/pyconde-pydata-2024/talk/G9S3MR/
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