REVIEW ON MACHINE LEARNING TECHNIQUES, APPLICATIONS, AND CHALLENGES

  • Unique Paper ID: 193621
  • Volume: 12
  • Issue: 10
  • PageNo: 979-992
  • Abstract:
  • The evolution of artificial intelligence in the current digital era has originated in pattern recognition from Machine Learning (ML) and computational learning theory, and has evolved into a core area of computer science and technology. It utilizes data-driven algorithms to generate predictions and improve system performance. As a rapidly developing technology within the IT industry, Machine Learning has significantly impacted sectors such as healthcare, engineering, and agriculture. This paper presents an overview of Machine Learning algorithms aimed at enhancing application intelligence and examines both their practical applications and the challenges encountered in their implementation.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{193621,
        author = {V. Sriharidevi and Dr. R. A. Roseline},
        title = {REVIEW ON MACHINE LEARNING TECHNIQUES, APPLICATIONS, AND CHALLENGES},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {979-992},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193621},
        abstract = {The evolution of artificial intelligence in the current digital era has originated in pattern recognition from Machine Learning (ML) and computational learning theory, and has evolved into a core area of computer science and technology. It utilizes data-driven algorithms to generate predictions and improve system performance. As a rapidly developing technology within the IT industry, Machine Learning has significantly impacted sectors such as healthcare, engineering, and agriculture. This paper presents an overview of Machine Learning algorithms aimed at enhancing application intelligence and examines both their practical applications and the challenges encountered in their implementation.},
        keywords = {Machine Learning techniques, supervised learning, unsupervised learning, semi-supervised learning, Reinforcement learning, applications, challenges.},
        month = {March},
        }

Cite This Article

Sriharidevi, V., & Roseline, D. R. A. (2026). REVIEW ON MACHINE LEARNING TECHNIQUES, APPLICATIONS, AND CHALLENGES. International Journal of Innovative Research in Technology (IJIRT), 12(10), 979–992.

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