Fraud Detection and Prevention Using Machine Learning Algorithms

Abstract

 This paper explores the application of machine learning techniques to risk management across various sectors. By leveraging advanced algorithms and predictive analytics, organizations can enhance their ability to identify, assess, and mitigate risks more effectively. We review key methodologies, present case studies, and discuss the challenges and future directions for integrating machine learning into risk management practices.