Feb. 20, 2024, 8:51 p.m. | Quentin Gallea, PhD

Towards Data Science - Medium towardsdatascience.com

The ultimate self-study guide for all levels

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While everyone focuses on AI and predictive inference, standing out requires mastering not just prediction, but understanding the “why” behind the data — in other words, mastering causal inference.

You have heard that “correlation does not imply causation”, but few truly grasp its implications or know when to confidently assert causality.

The distinction between predictive inference and causal inference is profound, with the latter often overlooked, leading to costly …

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