Which mathematician's probability theory became the foundation for many modern retail AI recommendation algorithms?

The intersection of mathematics and marketing has led to revolutionary approaches in data analysis, customer segmentation, and predictive modeling. Throughout history, certain mathematicians have significantly influenced how brands analyze and target customers. This trivia question explores a famous mathematician whose work became instrumental in modern retail artificial intelligence and predictive analytics that powers today's recommendation engines.

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Thomas Bayes (Bayesian probability)
Alan Turing (Turing machines)
Euclid (Euclidean geometry)
Emmy Noether (Noetherian rings)