Module 4: Deployment and responsible ML

Drift and monitoring

Data distributions and relationships can change after deployment. Monitor input drift, prediction quality, latency, errors, and business outcomes, then define retraining triggers.

Practice exercise

Choose five monitoring signals for a demand forecast.

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