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Advanced Machine Learning Algorithms for Complex Financial Applications

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  • Дата: 25-01-2023, 17:04
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Advanced Machine Learning Algorithms for Complex Financial ApplicationsНазвание: Advanced Machine Learning Algorithms for Complex Financial Applications
Автор: Mohammad Irfan, Mohamed Elhoseny, Salina Kassim
Издательство: IGI Global
Год: 2023
Страниц: 324
Язык: английский
Формат: epub (true)
Размер: 12.9 MB

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.

The use of Machine Learning in finance is essential. In the realm of finance, there are many complicated issues that need to be addressed, including asset credit evaluation, macroeconomic analysis, and investment decision-making. Many financial firms use Machine Learning (ML), which is having a big impact on the financial services industry. Because financial transaction processes are becoming more complicated, Machine Learning (ML) can lower operational costs by automating repetitive procedures and boosting productivity. Among other things, ML can analyse vast amounts of previous data and improve trading decisions to boost profits.

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