Infinity, Assumptions, and Data Science

This chapter explores the intriguing concept of the continuum hypothesis and the philosophical questions it raises about infinity within mathematics. It emphasizes the critical role of foundational assumptions in data science and machine learning, illustrating how these assumptions influence problem-solving and model selection. Furthermore, the speakers discuss the importance of effectively communicating the risks associated with these assumptions to stakeholders in a business context.