| Authors | DR HARIDAS S |
|---|---|
| Article Type | Research Article |
| Language | English |
| Journal | North Asian International Research Journal of Sciences, Engineering & I.T. |
| ISSN | 2454-7514 |
| Volume | 10 |
| Issue | 8 |
| Pages | 6-15 |
| Publication Year | 2024 |
| Publication Date | August 01, 2024 |
| DOI URL | https://doiglobal.org/10.2024/NAIRJCSEIT.014 |
Machine Learning (ML) has emerged as one of the most influential branches of Artificial Intelligence (AI), enabling computers to learn from data and improve their performance without being explicitly programmed. The rapid growth of digital data, cloud computing, and high-performance hardware has accelerated the adoption of machine learning across numerous sectors, including healthcare, finance, education, agriculture, transportation, and cybersecurity. Machine learning algorithms identify hidden patterns, make accurate predictions, and automate complex decision-making processes. Despite its transformative potential, machine learning faces challenges such as data privacy, algorithmic bias, interpretability, computational complexity, and ethical concerns. This paper provides a comprehensive overview of machine learning, discussing its history, concepts, learning paradigms, algorithms, applications, advantages, limitations, and future prospects. The study concludes that machine learning will continue to play a significant role in technological innovation and socio-economic development while requiring responsible implementation and continuous research.
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DOI: 10.2024/NAIRJCSEIT.014
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North Asian International Research Journal of Sciences, Engineering & I.T.
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