Use of Machine Learning Techniques in Computer Applications
Abstract
Machine Learning (ML) has emerged as a transformative technology in computer science, enabling systems to learn from data and make intelligent decisions without explicit programming. Its applications span various domains, including healthcare, finance, education, cybersecurity, e-commerce, and social media. This research paper explores the use of machine learning techniques in computer applications, focusing on supervised, unsupervised, and reinforcement learning models. The study uses secondary data from academic journals, industry reports, and case studies to analyze recent trends, benefits, and challenges of ML in practical applications. Findings indicate that ML significantly improves accuracy, efficiency, and predictive capabilities in computer applications, while challenges such as data quality, algorithm complexity, and ethical concerns remain critical. The study concludes that the integration of machine learning techniques into computer applications is essential for innovation, automation, and intelligent decision-making in the modern digital era.
Citation
Erin Shine. (2026). Use of Machine Learning Techniques in Computer Applications. Mercovite, 1(1), 24–33.
License
© 2026 The Author(s). Published by Dr. BGR Publications .
The authors retain copyright of this article. This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
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