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A Breakthrough With Machine Learning in Real-Time Environments

A Breakthrough With Machine Learning in Real-Time Environments
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Author(s): Jeffin Gracewell (Saveetha Engineering College, India)
Copyright: 2023
Pages: 18
Source title: Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence
Source Author(s)/Editor(s): Kamal Kant Hiran (Aalborg University, Denmark), K. Hemachandran (Woxsen University, India), Anil Pise (University of the Witwatersrand, South Africa)and B. Justus Rabi (Christian College of Engineering and Technology, India)
DOI: 10.4018/978-1-6684-6519-6.ch004

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Abstract

Over the past few years, machine learning (ML) has seen potential growth globally and has contributed a huge role in technological advancements. With improved learning mechanisms, the ML algorithms have provided huge breakthroughs and enhancements in solutions for the real-time global challenges that persist. With large amounts of digital data evolving each day, ML algorithms have evolved as the right-to-go approach, to provide technological breaks though by overruling the traditional methods. The chapter aims to briefly review the overview of ML algorithms and highlight the different applications under various segments where ML has contributed to providing breakthrough solutions. The applications that are to be discussed from different segments are healthcare, businesses, government, security, agriculture, industry, and the educational sector. The objective of the chapter is to provide the readers with a better understanding of how ML applications are used in different segments and the advancements it brings to modern technology.

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