Economics and Machine Learning

Sara and Daniel discuss the differences between economics and machine learning, focusing on the interpretability aspect and the challenges of probabilistic scoring in machine learning. They explore the need to learn from fields with better statistical grounding and the importance of distinguishing between noisy and atypical data points.