Date of Publication :3rd June 2024

Abstract:Machine learning is one area of modern technology. The topic of creating intelligent machines has been the subject of numerous investigations. As humans already possess this ability, machines can now learn. Various strategies have been devised for the same objective. Traditional machine learning approaches have been applied in many sectors of applications. These days, machine learning algorithms are far more accurate. Deep learning evolved as more components were taken into account. Deep learning is element/part of machine learning. In fact, not many deep learning applications have been researched thus far. It is likely that deep learning will become easier to apply in many more subdomains and application areas to solve issues. This paper provides a summary of the machine learning and deep learning application areas, sub-domains, and applications. This paper also discusses the process of selecting the most suitable approach for a given set of circumstances through research and understanding of whether learning technique (deep learning or machine learning) is most suited for a given field.

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