Tag: Data Science

Governance in Data Science

In order to build predictive models, data scientists need accurate data for training and validation. While a lot of work usually goes into cleaning up data sources for modeling, such as dealing with missing attributes, there’s often larger issues with the underlying data set that need to be correctly in order for the trained models […]

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