Advanced machine learning algorithms for complex financial applications / Mohammad Irfan, Mohamed Elhoseny, Salina Kassim, and Noura Saad Metawa, editors.
"The advancements in artificial intelligence and machine learning have significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are becoming more complex withi...
Saved in:
| Other Authors: | , , , |
|---|---|
| Format: | Ebook |
| Language: | English |
| Published: |
Hershey, PA :
Business Science Reference,
[2022]
|
| Subjects: | |
| Online Access: | IGI Global e-Book Collection |
| Summary: | "The advancements in artificial intelligence and machine learning have significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are becoming more complex within the field of finance. Artificial intelligence and machine learning, with their spectacular success accompanied by unprecedented accuracies, have become increasingly important in the finance world.Advanced Machine Learning Algorithms for Complex Financial Applications provides innovative research on the roles of artificial intelligence and machine learning algorithms in financial sectors with special reference to complex financial applications such as financial risk management in big data environments. In addition, the book addresses broad challenges in both theoretical and application aspects of artificial intelligence in the field of finance. Covering essential topics such as secure transactions, financial monitoring, and data modeling, this reference work is crucial for financial specialists, researchers, academicians, scholars, practitioners, instructors, and students."--Publisher's website. |
|---|---|
| Physical Description: | 1 online resource |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 1668444836 9781668444832 1668444852 9781668444856 |