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Herausgeber: 
  • Mohammad Irfan
  • Mohamed Elhoseny
  • Salina Kassim
  • Advanced Machine Learning Algorithms for Complex Financial Applications 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Januar 2023  
    Genre:  Wirtschaft / Recht 
     
    Artificial Intelligence / Blockchain / BUSINESS & ECONOMICS / Finance / General / cryptocurrency / data management / data modeling / Digital Financial Landscapes / Financial Monitoring
    ISBN:  9781668444849 
    EAN-Code: 
    9781668444849 
    Verlag:  IGI Global 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 254 mm / B 178 mm / D 18 mm 
    Gewicht:  612 gr 
    Seiten:  324 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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.

      



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