Which mathematical technique forms the foundation of most modern retail AI recommendation systems that suggest products based on previous purchases?

Artificial intelligence is transforming retail analytics through sophisticated mathematical models. These systems help retailers predict consumer behavior, optimize inventory, and personalize marketing strategies. Behind the sleek interfaces of modern retail AI platforms lies complex mathematics that converts raw data into actionable insights. Test your knowledge about how these mathematical foundations are being applied in today's retail AI landscape.

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Bayesian Networks and Probabilistic Graphical Models
Matrix Factorization and Collaborative Filtering
Markov Decision Processes
Differential Equations and Continuous Optimization