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Core ML Concepts · advanced · concept 46 of 311 · Updated Nov 4, 2026

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.

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Key terms

InterventionCounterfactualConfounderUplift modelingA/B testing

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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