Remove Computer Vision Remove Data Drift Remove ETL
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Building ML Platform in Retail and eCommerce

The MLOps Blog

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.

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Real-World MLOps Examples: End-To-End MLOps Pipeline for Visual Search at Brainly

The MLOps Blog

They also need to monitor and see changes in the data distribution ( data drift, 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.