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Machine Learning

Machine Learning

Khalid Ahmed AlAfandy, Hicham Omara, Mohamed Lazaar, Mohammed Al Achhab
Copyright: © 2022 |Pages: 31
ISBN13: 9781799898313|ISBN10: 1799898318|ISBN13 Softcover: 9781799898320|EISBN13: 9781799898337
DOI: 10.4018/978-1-7998-9831-3.ch005
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MLA

AlAfandy, Khalid Ahmed, et al. "Machine Learning." Computational Intelligence and Applications for Pandemics and Healthcare, edited by Sapna Singh Kshatri, et al., IGI Global, 2022, pp. 83-113. https://doi.org/10.4018/978-1-7998-9831-3.ch005

APA

AlAfandy, K. A., Omara, H., Lazaar, M., & Al Achhab, M. (2022). Machine Learning. In S. Kshatri, K. Thakur, M. Khan, D. Singh, & G. Sinha (Eds.), Computational Intelligence and Applications for Pandemics and Healthcare (pp. 83-113). IGI Global. https://doi.org/10.4018/978-1-7998-9831-3.ch005

Chicago

AlAfandy, Khalid Ahmed, et al. "Machine Learning." In Computational Intelligence and Applications for Pandemics and Healthcare, edited by Sapna Singh Kshatri, et al., 83-113. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-9831-3.ch005

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Abstract

This chapter provides a comprehensive explanation of machine learning including an introduction, history, theory and types, problems, and how these problems can be solved. Then it shows some of the most used machine learning algorithms that are used in image classification, ending with the evaluation matrices calculations that are used to assess the performance of the learning models. The open source libraries also mentioned in this chapter facilitate the used codes for building any learning model with the use of machine learning.

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