Application of Mathematics in Artificial Intelligence and Machine Learning

Authors

  • Mohammed Irshad Ali Professor & HoD, Department of Mathematics, Lords Institute of Engineering and Technology, Hyderabad, India
  • Shaik Mohammed Ali Professor, Department of Mathematics, Lords Institute of Engineering and Technology, Hyderabad, India
  • Shazia Tahseen Professor, Department of Mathematics, Lords Institute of Engineering and Technology, Hyderabad, India
  • Mohammed Nisar Professor, Department of Mathematics, Lords Institute of Engineering and Technology, Hyderabad, India
  • Mohammed Furquan Saleem B.E. Student, Artificial Intelligence & Machine Learning, Lords Institute of Engineering and Technology, Hyderabad, India

Keywords:

Artificial Intelligence, Machine Learning, Linear algebra, Vector space, Eigen values and Eigen vectors, Calculus

Abstract

Mathematics plays a very important role in day-to-day life. Be it any field such as, technology, aerospace, medical, etc., mathematics is used in its respective ways. Same is the case with artificial intelligence and machine learning. The automation in machines is highly dependent on the theories of mathematics. The most often mathematics concepts used in AI are matrices, integral calculus, probability distributions, optimization, tabu search, sequential quadratic programming etc.

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Published

02-01-2022

Issue

Vol. 4 No. 12 (2021)

Section

Articles

License

Copyright (c) 2022 Mohammed Irshad Ali, Shaik Mohammed Ali, Shazia Tahseen, Mohammed Nisar, Mohammed Furquan Saleem

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
M. I. Ali, S. M. Ali, S. Tahseen, M. Nisar, and M. F. Saleem, “Application of Mathematics in Artificial Intelligence and Machine Learning”, IJRESM, vol. 4, no. 12, pp. 140–141, Jan. 2022, Accessed: Dec. 21, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/1641