Deployment of Azure ML web services from notebooks


While web services can be created directly in Azure Machine Learning Studio, in some cases it may be more straightforward to develop and deploy a web service entirely within a Jupyter notebook. Notebooks allow developers to prototype easily and to include commentary in an easy-to-reference format. This tutorial will demonstrate how the Python and R  libraries can be used to deploy Azure ML web services directly from within a notebook (or local Python/R environment).

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