Machine Learning Algorithms: Features and Applications

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Author(s): Hamed Taherdoost (University Canada West, Canada & Global University Systems, UK & Hamta Business Corporation, Canada & Quark Minded Technology Inc., Canada)
Copyright: 2023
Pages: 23
Source title: Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch054

Keywords: Data Analysis and Statistics / Engineering Science Reference / Knowledge Management and Library Science / Machine Learning

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Abstract

Machine learning (ML) makes logical patterns out of various types of input data including images, texts, numbers, and any other types of data. Data derived from research will be processes through machine learning ‎algorithms and leads to a prediction that is mainly considered as the output of the machine learning ‎algorithm. Machine learning helps to lower the cost of providing products and services, facilitate business processes and increase the quality of serving customers. In this article, the most popular and commonly used learning algorithms have been reviewed and their specific features are discussed to help select the most appropriate algorithm through comparison in different research projects. Finally, challenges of employing machine learning (ML) for business purposes have been discussed. However, there is not just one practical and efficient method to ‎apply to all data sets, and the appropriate algorithm may differ based on various factors in a study.

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