Paper Title

A Study on machine learning techniques and their applications in modern technology

Keywords

Machine Learning, Artificial Intelligence, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Predictive Analytics, Intelligent Systems, Data-Driven Decision Making.

Abstract

Machine Learning (ML) has emerged as one of the most influential technologies in the modern era of computing and artificial intelligence. It enables computers and intelligent systems to automatically learn from data, recognize patterns, and improve their performance without being explicitly programmed. Traditional computer programs require detailed instructions to perform specific tasks, whereas machine learning systems use algorithms that allow them to learn from previous experiences and adapt to new information. This ability makes machine learning highly effective in solving complex problems that involve large amounts of data. The rapid growth of digital technologies has resulted in an enormous increase in the amount of data generated worldwide. Organizations across various industries rely on machine learning techniques to analyze this data, extract meaningful insights, and make accurate predictions. Machine learning is widely applied in fields such as healthcare, finance, transportation, education, marketing, and social media. For instance, it helps doctors detect diseases at early stages, assists banks in identifying fraudulent transactions, and enables online platforms to recommend products and services based on user preferences. This study focuses on understanding the fundamental concepts of machine learning, examining the different learning techniques, and exploring the real-world applications of machine learning systems. The research also highlights the advantages and future potential of machine learning technologies. By studying machine learning techniques and their impact on modern technology, this research aims to demonstrate how intelligent systems can improve efficiency, productivity, and decision-making processes in various sectors.

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Registration ID: IJVRA_701494   Published ID: IJVRA2603364

How To Cite

"A Study on machine learning techniques and their applications in modern technology", IJVRA - International Journal of Versatile Research and Analysis (www.IJVRA.org), ISSN:2984-8903, Vol.4, Issue 3, page no.758-762, March-2026, Available :https://ijpub.org/ijvra/papers/IJVRA2603364.pdf

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Other Publication Details

Paper Reg. ID: IJVRA_701494

Published Paper Id: IJVRA2603364

Research Area: Science All

Country: Coimbatore, Tamil Nadu, India

Published Paper PDF: https://ijpub.org/IJVRA/papers/IJVRA2603364

Published Paper URL: https://ijpub.org/IJVRA/viewpaperforall?paper=IJVRA2603364

About Publisher

ISSN: 2984-8903 | IMPACT FACTOR: 9.12 Calculated By Google Scholar | ESTD YEAR: 2023

An International UGC CARE JOURNAL PUBLICATION Low Cost (₹599), Scholarly Open Access, Peer-Reviewed, Refereed Journal Impact Factor 9.12 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage, Crossref DOI Member Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJVRA (IJ Publication) Janvi Wave

Licence

© 2026 - Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). 🛡️ Disclaimer: The content, data, and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses, or consequences arising from its use.

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