Learning to Replicate Expert Judgment in Financial Tasks
This article discusses how machine learning models can be trained to replicate expert judgment in financial tasks, reducing reliance on human experts while maintaining decision quality. The approach uses supervised learning on historical expert decisions to build models that can evaluate credit risk, detect fraud, and make investment recommendations with accuracy comparable to human specialists.