Monday, May 24, 2021

Model Registry Makes MLOps Work – Here’s Why

Model Registry is a part of the machine learning lifecycle or MLOps. It is a service that manages multiple model artifacts, tracks, and governs models at different stages of the ML lifecycle. Model registry is a collaborative hub where teams can work together at different stages of the machine learning lifecycle, starting from the experimentation […]

The post Model Registry Makes MLOps Work – Here’s Why appeared first on neptune.ai.



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TestDriven.io: Working with Static and Media Files in Django

This article looks at how to work with static and media files in a Django project, locally and in production. from Planet Python via read...