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
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
