Machine Learning Algorithms for Financial Risk Assessment

Abstract

This paper explores the application of machine learning algorithms in financial risk assessment. By analyzing large datasets, these algorithms can identify patterns and predict potential risks in real-time. The study details several case studies where machine learning models have been successfully applied to enhance decision-making processes in the finance industry.