Module 4: Machine learning as empirical inference

Module 4: Machine learning as empirical inference#

AINS6001 — Foundations of Artificial Intelligence

Essential Question#

How does learning from data differ from explicit programming?

Core Moves#

  • Define the problem boundary

  • Identify evidence and assumptions

  • Build or evaluate the artifact

  • Communicate limits and next actions

Lab & Assignment#

Train and compare two baseline models on a small dataset.

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