Welcome to the InfoSci Platform
Introduction to Machine Learning

Introduction to Machine Learning

Copyright: © 2023 |Pages: 14
ISBN13: 9781799883432|ISBN10: 1799883434|ISBN13 Softcover: 9781668478844|EISBN13: 9781799883449
DOI: 10.4018/978-1-7998-8343-2.ch008
Cite Chapter Cite Chapter

MLA

Abraham Varghese, et al. "Introduction to Machine Learning." Controlling Epidemics With Mathematical and Machine Learning Models, IGI Global, 2023, pp.193-206. https://doi.org/10.4018/978-1-7998-8343-2.ch008

APA

A. Varghese, E. Lacap, Jr., I. Sajath, M. Kumar, & S. Kolamban (2023). Introduction to Machine Learning. IGI Global. https://doi.org/10.4018/978-1-7998-8343-2.ch008

Chicago

Abraham Varghese, et al. "Introduction to Machine Learning." In Controlling Epidemics With Mathematical and Machine Learning Models. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-7998-8343-2.ch008

Export Reference

Mendeley
Favorite

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.