Vanishing Gradients cover image

Episode 16: Data Science and Decision Making Under Uncertainty

Vanishing Gradients

CHAPTER

Introduction

Exploring the application of data science in improving decision-making processes by incorporating risk, probabilistic thinking, and causal inference, with a focus on reinsurance. The chapter discusses heuristics for principled decision-making in data science, common mistakes in decision-making under uncertainty, and the impact of model building and storytelling on cognitive biases.

00:00
Transcript
Play full episode

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
App store bannerPlay store banner