Leverage Generative AI within the R programming environment and prepare for future directions and how new innovations can be applied in the R ecosystem.
From the elegance of the Black–Scholes equation to the complexity of multi-factor interest rate models and hybrid derivatives, this book is your comprehensive guide to quantitative finance, complete with 15+ advanced C++ projects using QuantLib and Boost.
Leverage Generative AI within the R programming environment and prepare for future directions and how new innovations can be applied in the R ecosystem.
From the elegance of the Black–Scholes equation to the complexity of multi-factor interest rate models and hybrid derivatives, this book is your comprehensive guide to quantitative finance, complete with 15+ advanced C++ projects using QuantLib and Boost.
This book constitutes the refereed proceedings of the First International Conference on Software Engineering for Emerging Technologies, SEET 2025, held at Long Beach, California, USA, during August 11–12, 2025.
This book constitutes the refereed proceedings of the First International Conference on Software Engineering for Emerging Technologies, SEET 2025, held at Long Beach, California, USA, during August 11–12, 2025.
This book constitutes the refereed proceedings of the 18th International Conference on CLOUD Computing – CLOUD 2025, held as part of the Services Conference Federation, SCF 2025, in Hong Kong, China, during September 27–30, 2025.
This book constitutes the refereed proceedings of the 18th International Conference on CLOUD Computing – CLOUD 2025, held as part of the Services Conference Federation, SCF 2025, in Hong Kong, China, during September 27–30, 2025.
Quantitative Finance with Case Studies in Python: A Practical Guide to Investment Management, Trading and Financial Engineering bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management.
Quantitative Finance with Case Studies in Python: A Practical Guide to Investment Management, Trading and Financial Engineering bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management.
This comprehensive book on Explainable Artificial Intelligence has been updated and expanded to reflect the latest advancements in the field of XAI, enriching the existing literature with new research, case studies, and practical techniques.
This comprehensive book on Explainable Artificial Intelligence has been updated and expanded to reflect the latest advancements in the field of XAI, enriching the existing literature with new research, case studies, and practical techniques.