• Introduces core concepts in data-driven modeling that inform and optimize business decisions under uncertainty. Covers models and frameworks, such as machine learning, time series forecasting, dynamic programming, stochastic optimization, and multi-armed bandits. Draws on real-world applications, with several examples from retail, healthcare, logistics, supply chain, and public sector.

• Textbook Information

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