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Building NHM London’s Planetary Knowledge Base with Amazon Neptune and the Registry of Open Data on AWS

AWS Public Sector

It simplifies the process of data preparation, model training, and hosting a secure inference endpoint into a set of workbench magic commands that can be end-to-end in a Neptune graph notebook. Once graph data is exported, Neptune ML makes it easy to train the ML model and deploy it to an Amazon SageMaker endpoint.

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