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Implementation of Machine Learning and Deep Learning in Finance

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Cybersecurity and Artificial Intelligence

Abstract

Artificial intelligence, machine learning, and deep learning are powerful and intelligent technologies that have prevalent applications in the finance domain. These technologies enable financial institutions to develop advanced systems such as fraud detection, portfolio management, market segmentation, stock price prediction, and security anomaly detection. Recent decades have shown a great deal of research applications of AI in various areas of finance. This paper presents the state of ML and DL technologies, their implementation areas in finance, future trends and challenges.

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Author information

Authors and Affiliations

  1. Northumbria University, London, UK

    Dilek Celik & Sonal Jain

Authors
  1. Dilek Celik
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  2. Sonal Jain
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Corresponding author

Correspondence to Dilek Celik .

Editor information

Editors and Affiliations

  1. Northumbria University London, London, UK

    Hamid Jahankhani

  2. School of Business & Law, Anglia Ruskin University, Chelmsford, Essex, UK

    Gordon Bowen

  3. School of Architecture, Comp. and Eng., University of East London, London, UK

    Mhd Saeed Sharif

  4. London, UK

    Osama Hussien

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Celik, D., Jain, S. (2024). Implementation of Machine Learning and Deep Learning in Finance. In: Jahankhani, H., Bowen, G., Sharif, M.S., Hussien, O. (eds) Cybersecurity and Artificial Intelligence. Advanced Sciences and Technologies for Security Applications. Springer, Cham. https://doi.org/10.1007/978-3-031-52272-7_3

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  • DOI: https://doi.org/10.1007/978-3-031-52272-7_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-52271-0

  • Online ISBN: 978-3-031-52272-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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