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AI and Machine Learning: Supervised Learning Techniques Based on IoMT

AI and Machine Learning: Supervised Learning Techniques Based on IoMT

Manisha Verma
ISBN13: 9781668435335|ISBN10: 1668435330|EISBN13: 9781668435342
DOI: 10.4018/978-1-6684-3533-5.ch010
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MLA

Verma, Manisha. "AI and Machine Learning: Supervised Learning Techniques Based on IoMT." The Internet of Medical Things (IoMT) and Telemedicine Frameworks and Applications, edited by Rajiv Pandey, et al., IGI Global, 2023, pp. 196-206. https://doi.org/10.4018/978-1-6684-3533-5.ch010

APA

Verma, M. (2023). AI and Machine Learning: Supervised Learning Techniques Based on IoMT. In R. Pandey, A. Gupta, & A. Pandey (Eds.), The Internet of Medical Things (IoMT) and Telemedicine Frameworks and Applications (pp. 196-206). IGI Global. https://doi.org/10.4018/978-1-6684-3533-5.ch010

Chicago

Verma, Manisha. "AI and Machine Learning: Supervised Learning Techniques Based on IoMT." In The Internet of Medical Things (IoMT) and Telemedicine Frameworks and Applications, edited by Rajiv Pandey, Amrit Gupta, and Agnivesh Pandey, 196-206. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-3533-5.ch010

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Abstract

In the most recent decade, an enormous number of learning strategies have been presented in the field of the AI. Supervised learning has emerged as a major area of research in machine learning. Large numbers of the supervised learning methods have discovered application in their preparing and investigating assortment of information. One of the principle attributes is that the managed learning has the capacity of commenting on preparing information. The supposed marks are class names in the order cycle. There is an assortment of calculations that are utilized in the managed learning strategies. This chapter sums up the crucial parts of a couple of regulated techniques. The principle objective and commitment of this chapter is to introduce the outline of AI and give AI procedures.

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