You have “Big Data”, and – you not just want to predict events in your data – you need to understand WHY things happen. Then look at our “gray hair and glasses” video: Paula will explain to you why gray hair and glasses are correlated but none of the two causes the other. You thereby understand the difference between correlation and causation, and why “intelligent interventions” require more than “predictive models”.
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