MLOps using Azure

Azure is already solving challenging problems related to operationalising machine learning, from registering and versioning datasets to facilitating monitoring and deploying live inferencing models on scalable clusters.

The most important thing to achieve as an MLOps engineer is to ship models to production, not reinvent cloud features. Trying some of that here.

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