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Artificial Intelligence and Machine Learning

Authors: Dr. Namita Chawla, Prof. Dhananjay Narayan Bhavsar, and Dr. Vaishali Jawale

Editor: Dr. Nilesh Anute

ISBN: 978-81-967968-8-4

DOI: https://doi.org/10.59646/aiml/098

Date of Publication: December 31, 2023

About the Book:

This is the best entry point for someone wishing to go from a programming role to an artificial intelligence professional. You will study the fundamentals of implementing popular machine learning scenarios on several platforms, including the web, mobile, cloud, and embedded runtimes. These scenarios include computer vision, natural language processing (NLP), and sequence modelling. A bewildering quantity of complex mathematics often opens most machine learning texts. Practical lessons that allow you to work directly with the code form the basis of this tutorial.

References

  1.  F. Scarcello, Artificial intelligence’.Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Elsevier, Amsterdam, The Netherlands, 2018, pp. 287–293.
  2. M. Consultants, Benefits Of Artificial Intelligence In the Banking Sector; Millennium Consultants: Kuala Lumpur, Malaysia, 2022. Available online: https://www. millenniumci.com/benefits-of-artificial-intelligence-in-the-banking-sector. (Accessed 11 September 2022).
  3. S. Ross, What percentage of the global economy is comprised of the financial services sector, Invest 5 (2015), 2015. Available online: https://www.investopedia. com/ask/answers/030515/what-percentage-global-economy-comprised-financia l-services-sector.asp. (Accessed 11 September 2022).
  4. A. Biswas, U. Bhattacharjee, A.K. Chakrabarti, D.N. Tewari, H. Banu, S. Dutta, Emergence of Novel Coronavirus and COVID-19: Whether to stay or die out? Crit. Rev. Microbiol. 46 (2020) 182–193.
  5. S. Siddiqui, Digital banking transactions soar; the express tribute: Karachi, Pakistan, Available online, https://tribune.com.pk/story/2361928/digital-banking-transacti ons-soar, 2022. (Accessed 11 September 2022).
  6. J.I. Amer Hassan, Acknowledgements: MYPR Team Team Leaders Mid-year Performance Review of the Banking Sector. (H1CY21), 2021. Available online: http s://www.sbp.org.pk/publications/HPR/H1CY21.pdf. (Accessed 29 December 2022).
  7. M. Rahman, T.H. Ming, T.A. Baigh, M. Sarker, Adoption of artificial intelligence in banking services: an empirical analysis, Int. J. Emerg. Mark. 18 (10) (2022) 4270–4300 (ahead-of-print.
  8. D. Kaur, S.L. Sahdev, D. Sharma, L. Siddiqui, Banking 4.0: ‘The influence of artificial intelligence on the banking industry & how AI is changing the face of modern day banks’, Int. J. Manag. 11 (2020) 577–585.
  9. M. Doumpos, C. Zopounidis, D. Gounopoulos, E. Platanakis, W. Zhang, Operational research and artificial intelligence methods in banking, Eur. J. Oper. Res. 306 (2022) 1–16.

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