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Inference using Docker

You have seen how you can use a containerization service like Docker to bundle and run applications. This can be used for a variety of purposes, including ensuring a consistent environment for development and deployment, simplifying dependencies management, and providing a portable solution that can run almost anywhere. This is especially important in healthcare projects with non-technical stakeholders who want to be able to deploy and run models easily and at speed.

This exercise is part of the course

End-to-End Machine Learning

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