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Advanced Machine Learning Algorithms for Complex Financial Applications

Advanced Machine Learning Algorithms for Complex Financial Applications
Advanced Machine Learning Algorithms for Complex Financial Applications

Advanced Machine Learning Algorithms for Complex Financial Applications

Paperback | English
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Description

Presents 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. The book also addresses broad challenges in both theoretical and application aspects of AI in the field of finance.

Mohammad Irfan is presently working as an Associate Professor at CMR Institute of Technology, Bangalore. Prior joining to CMRIT, he was associated with the School of Business, AURO University, Surat, Gujarat for five years. He is MBA (Finance and Marketing) and M.Com (Account and Law). Dr. Irfan has done this Ph.D. from the Central University of Haryana. He has qualified UGC-SRF/NET in Management and UGC-NET in Commerce. Dr. Irfan has also qualified NSEs (NCFM) and BSEs Certification. He has experience of fifteen years in the area of Financial Management, Portfolio Management, Data Analysis for Business, Financial Engineering, Financial Analytics, Fintech, Financial modeling in Excel, Green Finance, and Alternative Finance. He has to his credit various research papers published in Scopus Indexed Journals. He is an editorial board member/reviewer in several national and international journals. Dr. Irfan presented papers in IIM-A, IIM-C, IIM-Indore, IIM-Shillong, IIT-Roorkee, Indonesia, Malaysia, Nigeria, Switzerland.

Salina Kassim has a great passion in writing scholarly articles in various areas of Islamic banking and finance. She has published extensively in academic journals with nearly 200 scholarly articles in the areas of her research interests. She has also published several books mainly in the areas of Islamic finance. In recognition to her dynamic role as a subject matter expert, she has been appointed as member of the editorial boards of several reputable international and local journals. At present, she is supervising (and has supervised) nearly 80 post-graduate candidates at the PhD and Masters levels. She has also served as internal and external examiners for Masters and PhD theses in several universities, apart from being appointed as Adjunct Professor, Visiting Research Fellow and trainer at several universities and institutes, locally and abroad.

Specifications

  • Publisher
    IGI Global
  • Pub date
    Jan 2023
  • Pages
    292
  • Theme
    Finance
  • Dimensions
    279 x 216 mm
  • Weight
    287 gram
  • EAN
    9781668444849
  • Paperback
    Paperback
  • Language
    English