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Artificial Intelligence and Machine Learning for EDGE Computing
book

Artificial Intelligence and Machine Learning for EDGE Computing

by Rajiv Pandey, Sunil Kumar Khatri, Neeraj Kumar Singh, Parul Verma
April 2022
Intermediate to advanced
516 pages
22h 32m
English
Academic Press
Content preview from Artificial Intelligence and Machine Learning for EDGE Computing

Chapter 4: Regression analysis

Kanishka Tyagia; Chinmay Raneb; Harshvardhanc; Michael Manryd    a Aptiv Advanced Research Center, Agoura Hills, CA, United Statesb Quantiphi, Inc., Marlborough, MA, United Statesc Department of Civil Engineering, Indian Institute of Technology, Delhi, Indiad Department of Electrical Engineering, The University of Texas at Arlington, Arlington, TX, United States

Abstract

Regression analysis is a method of choice whenever it predicts continuous variables given a multivariate input variable. It often provides explicit estimates of measure for the cause-effect relationship between the individual inputs and the outcome, with an error estimate given by an optimization algorithm. Regression models are used in various ...

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Publisher Resources

ISBN: 9780128240557