
Episode 14: Decision Science, MLOps, and Machine Learning Everywhere
Vanishing Gradients
Navigating Decision-Making Under Uncertainty
The chapter explores decision-making under uncertainty, emphasizing the importance of distinguishing between decision quality and chance in various scenarios. It discusses the challenges of thinking probabilistically, evaluating risks impactfully, and dealing with uncertainty in personal, societal, and global contexts. Examples from the 2016 US presidential election and the COVID-19 pandemic are used to illustrate the complexities of interpreting data and making informed decisions.
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