MLOps Tooling: an overview of some tools

toddmorrill.github.io

Anyone in the industry knows how confusing it can be to discern between a data scientist, data engineer, model ops engineer, research scientist, and the list goes on. Titles aside, getting models into production (i.e. serving a ML model that provides predictions) is frankly where the money is.

An overview of some tools explored by the author at the last MLOps NYC conference: Kubeflow, MLFlow, SageMaker, Dask and Rapids.

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