Module 6: Time, drift, and monitoring

Module 6: Time, drift, and monitoring#

AINS6002 — Machine Learning & Predictive Modeling

Essential Question#

What changes after a model leaves the notebook?

Core Moves#

  • Define the problem boundary

  • Identify evidence and assumptions

  • Build or evaluate the artifact

  • Communicate limits and next actions

Lab & Assignment#

Define drift checks and monitoring metrics for a deployed predictor.

Use the assignment notebook to turn lab evidence into a defensible recommendation.