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ISSN 2063-5346
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REAL WORLD APPLICATIONS AND RESEARCH DIRECTIONS FOR MACHINE LEARNING: CHALLENGES AND DEFIES

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Ms. Zaiba Khan
» doi: 10.53555/ecb/2023.12.3.226

Abstract

The digital world offers a lot of data in this era of the Fourth Industrial Revolution. Intelligently analysing these data and implementing suitable smart and automated applications at scale. Machine learning refers to a set of algorithms, scientific investigations, and statistical models that allow computers to accomplish tasks without having to be explicitly programmed. Many of the applications we use on a daily basis involve learning algorithms. The main advantages of using machine learning are; once an algorithm learns what to do with data, it can do its work automatically. In this paper, we present a comprehensive view on machine learning algorithms that can applied to Enhance the intelligence, the techniques and their applicability thus, this study’s key contribution is explaining the principles of different machine learning techniques application domains such as cyber security systems, smart cities, health-care, e-commerce, agriculture and many more as for decision makers in various real world situation and application area from technical point of view.

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