Learning as Loss Minimization - Lecture 22a

Explore the concept of framing machine learning as an optimization problem in this 31-minute lecture from UofU Data Science. Understand how learning can be declaratively stated as minimizing empirical risk, building upon concepts from previous lectures. Gain deeper insights into loss minimization as a fundamental approach to machine learning problems. Additional resources and detailed explanations are available through the accompanying lecture materials.