Tun Shwe – Moving from Offline to Online Machine Learning with River | PyData Global 2024
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Learn how to get started on your online ML journey with River, an open source Python ML library. The foundations of machine learning were built on offline batch processing techniques for model training and inference. As organisations become more dependent on real-time data, the technological trend for machine learning in production is moving towards adding an online stream processing approach. This has benefits such as lower computational requirements 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 changes in data.
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