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In this section, I will talk about best practices around building the Data Processing platform. The objective of this platform is to preprocess, prepare and transform the data so that it’s ready for model training. So, having ONNX as part of the ML platform saves a lot of time to quickly iterate.
They also need to monitor and see changes in the data distribution ( datadrift, concept drift , etc.) Data infrastructure and tool stack for Brainly’s visual search team “Our data stack varies from one project to another. while the services run.
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