Copyright © 2025 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.

@article{161278,
        author = {Dr.J.Savitha and D.G.Sneha and S.Aiswin and R.S.Surendar},
        title = {HISTORY OF MACHINE LEARNING WITH ITS ADVANTAGES AND ITS APPLICATIONS.},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {3},
        pages = {172-176},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=161278},
        abstract = {     The discipline of machine learning, which is simply the ability for computers to successfully predict the future based on past experiences, has recently shown significant growth thanks to the quick rise in computer storage and processing power. Machine learning techniques have been widely used in bioinformatics as well as many other fields. For this application field, complex machine learning methods have been developed due to the complexity and expense of biological analyses. The foundational ideas of machine learning, such as feature evaluation, supervised versus unsupervised learning, and various classification techniques, are initially covered in this chapter. Then, we highlight the key difficulties in creating machine learning experiments and assessing their efficacy. We conclude by introducing a few supervised learning techniques.},
        keywords = {},
        month = {},
        }