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Machine Learning: A Brief Review for the Beginners

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  • Haradhan Kumar Mohajan

    (Chairman and Associate Professor, Department of Mathematics, Premier University, Chittagong, Bangladesh)

Abstract

Machine learning (ML) is a branch of artificial intelligence (AI) that focuses on developing models, studies statistical algorithm, teaches the systems to think and understand like humans by learning from the data, and performs tasks without explicit instructions. It is one of the most relevant technologies of the 21st century that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. It opens an entirely new realm of what humans can do with computers and other machines. It describes the capacity of systems to learn from problem-specific training data to automate the process of analytical model building and solve associated tasks. It can enable an organization to autonomously learn and improve using neural networks and deep learning (DL), without being explicitly programmed, by feeding it large amounts of data. This paper tries to discuss elementary ideas of machine learning for the benefit of the new researchers in this field.

Suggested Citation

  • Haradhan Kumar Mohajan, 2026. "Machine Learning: A Brief Review for the Beginners," Innovation in Science and Technology, Paradigm Academic Press, vol. 5(1), pages 26-34, March.
    • Handle: RePEc:bdz:inscte:v:5:y:2026:i:1:p:26-34
    DOI: 10.63593/IST.2788-7030.2026.03.004
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