Core ML Concepts · advanced · concept 33 of 176
Causal Inference & ML
Correlation predicts, causation decides. Causal inference asks what happens if you intervene: does the discount cause retention, or do loyal customers just use discounts? Tools like randomized experiments, uplift models, and instrumental variables answer questions prediction alone cannot.
Key terms
InterventionCounterfactualConfounderUplift modelingA/B testing
Learn these first
Where you meet it in the real world
Pricing and promotion decisions, medical treatment effects, policy evaluation, marketing attribution
Videos
▶ 14. Causal Inference, Part 1 ↗
MIT OpenCourseWare · YouTube
Guides and articles
Courses, papers, and more