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Episode 16: Data Science and Decision Making Under Uncertainty

Vanishing Gradients

CHAPTER

Navigating Decision-Making Under Uncertainty

The chapter explores the intricacies of decision-making in uncertain situations, emphasizing the need for probabilistic thinking. Through examples like evaluating a new chemotherapy drug's impact, it showcases the complexities of assessing outcomes beyond point estimates. From convolving the posterior distribution with a loss function to communicating model outcomes effectively, it delves into the challenges and strategies for making informed decisions under uncertainty.

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