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ML in production launch

Deploying machine learning models into production systems is a complex task, and requires caution and close business involvement to make sure customers are not negatively affected. Releasing slowly and to a limited audience, tracking results and feedback is critical to ensure a smooth launch and early detection of any possible issues.

This exercise is part of the course

Machine Learning for Business

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Hands-on interactive exercise

Turn theory into action with one of our interactive exercises

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