Data Science in Production: Building Scalable Model Pipelines with Python by Ben Weber

Data Science in Production: Building Scalable Model Pipelines with Python

Ben Weber

missing page info Add in missing page information 2020

1 edition

informative slow-paced
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Putting predictive models into production is one of the most direct ways that data scientists can add value to an organization. By learning how to build and deploy scalable model pipelines, data scientists can own more of the model production proc...

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