David Hand: Ai, Dark Data, LLMs, Peer Review
Theories of Everything with Curt Jaimungal
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Theory vs Data: Navigating Prediction Models
This chapter explores the differences between theory-driven and data-driven models, emphasizing their roles in prediction and adaptability. It underscores the risks associated with relying solely on data-driven methods, particularly in sensitive contexts like risk assessment and the implications seen during events like the COVID pandemic.
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