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Introduction to Machine Learning
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Copyright: 2023
Pages: 14
Source title:
Controlling Epidemics With Mathematical and Machine Learning Models
Source Author(s)/Editor(s): Abraham Varghese (University of Technology and Applied Sciences, Muscat, Oman), Eduardo M. Lacap, Jr. (University of Technology and Applied Sciences, Muscat, Oman), Ibrahim Sajath (University of Technology and Applied Sciences, Muscat, Oman), M. Kamal Kumar (University of Technology and Applied Sciences, Muscat, Oman)and Shajidmon Kolamban (University of Technology and Applied Sciences, Muscat, Oman)
DOI: 10.4018/978-1-7998-8343-2.ch008
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Abstract
A machine learning system works by using data to identify patterns, make decisions, and learn from them. Machine learning is based on the idea that systems can learn from data. In the traditional problem-solving approach, data is paired with a human-created program to generate answers to a problem. In machine learning, the data and answers are used to unravel the rules that create a problem. During a learning process, machines experiment with different rules and learn what works and does not work, hence the name machine learning. This chapter explores the history of machine learning, various machine learning techniques, and their comparisons.
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