Scaling the Wall Between Data Scientist and Data Engineer

The educational and research focuses of machine learning tends to highlight the model building, training, testing, and optimization aspects of the data science process. To bring these models into use requires a suite of engineering feats and organization, a standard for which does not yet exist. Learn more about a framework for operating a collaborative data science and engineering team to deploy machine learning models to end-users.

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Scaling the Wall Between Data Scientist and Data Engineer