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Recommender systems and high-frequency trading

Practical AI

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Optimizing Decision-Making in Experiments

This chapter explores response surface methodologies and the advantages of multi-armed bandits over traditional A-B testing in optimizing business metrics. It also discusses practical tools for A-B testing and Bayesian optimization, emphasizing their relevance in the evolving landscape of data-driven decision-making.

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