Utilizing AI and machine learning in...
Kumar, Sanjeev, (1978-)

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  • Utilizing AI and machine learning in financial analysis
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Utilizing AI and machine learning in financial analysis/ Dina Darwish, Sanjeev Kumar, editors.
    remainder title: Utilizing artificial intelligence and machine learning in financial analysis
    other author: Kumar, Sanjeev,
    Published: Hershey, Pennsylvania :IGI Global Scientific Publishing, : 2025.,
    Description: 1 online resource (xxx, 629 p.) :ill.
    [NT 15003449]: Preface -- Chapter 1. Detecting and Preventing Fraud Transaction Using Artificial Intelligence in Banking -- Chapter 2. Leveraging Machine Learning for Fraud Detection in the Financial Sector -- Chapter 3. ML-Based Data Analysis forStock Market Forecasting -- Chapter 4. AI-Driven Strategies for Maximizing Revenue in Tourism: A Comprehensive Review of Literature -- Chapter 5. Employment of Ml and AI In Asset Management and Evaluation -- Chapter 6. Significance of Machine Learning Use in Financial Services -- Chapter 7. Research Directions in Machine Learning and AI for Financial Innovation and Risk Management -- Chapter 8. Transforming Financial Services With Artificial Intelligence and Machine Learning:Insights Into Opportunities and Emerging Trends -- Chapter 9. AI-Powered Insights: Unlocking the Future of Stock Market Predictions -- Chapter 10. Utilizing AI and Machine Learning in Financial Analysis -- Chapter 11. Envisioning the Future: The Evolution and Impact of AI and Machine Learning in Finance -- Chapter 12. Analyzing Financial Sentiments Using BERT Model: A Deep Dive Into Market Perception and Investor Behavior for Informed Investment Decisions -- Chapter 13. AI and Its Transformative Role in Financial Services -- Chapter 14. Enhancing Fraud Detection in Finance Through AI and Machine Learning -- Chapter 15. Artificial Intelligence Enhancing Customer Relations in Financial Sectors -- Chapter 16. TheImplications of Missing Data on the Stability of Random Forest and Support Vector Machine Model's Output -- Chapter 17. Predictive Analytics in Finance: Leveraging AI and Machine Learning for Investment Strategies -- Chapter 18. AI and Machine Learning-Driven Model for Assessing Financial Risk Networks -- Chapter 19. Reimagining Customer Relations Through AI Innovation -- Chapter 20. A Comprehensive Survey and Analysis of Bank Employee Retention Policies -- Chapter 21. Revolutionize the Financial Services: Artificial Intelligence in the Finance Sector -- Chapter 22. Unleashing the Power of AI: Exploring the Transformative Landscape of Image Analysis -- Chapter 23. ML Use in Fraud Detection in the Financial Sector -- Chapter 24. AI-Powered Financial Inclusion: Bridging the Gap for the Unbanked -- Chapter 25. Applications of Generative AI in Fintech -- Chapter 26. The Future of Machine Learning and Artificial Intelligence in Finance -- Chapter 27.Importance of Using AI and ML in the Financial Sector for Risk Prevention and Management -- Chapter 28. Artificial Intelligence in the fields of Financial Management and Hospitality -- Chapter 29. Blockchain-Driven Innovations in the Banking and Financial Sectors: Harnessing the Power of Automated Machine Learning -- Chapter 30. Predictive Analytics in Finance: Leveraging AI and Machine Learning for Market Forecasting -- Chapter 31. Service Quality and Tourist Decision-Making: A Bibliometric Review Utilizing AI -- About the Contributors -- Index.
    Subject: Finance - Data processing. -
    Online resource: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-8507-4
    ISBN: 9798369385098
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