eBook - Machine Learning for Risk Calculations: A Practitioner's View

This book presents algorithmic solutions using deep learning and Chebyshev tensors to address the significant computational demands of risk calculations in financial institutions. It reviews fundamental techniques and demonstrates practical applications in financial risk areas such as Counterparty Credit Risk, VaR, and portfolio optimization, improving risk management and computational efficiency.