Artificial Intelligence and Machine Learning for EDGE Computing

Chapter 4: Regression analysis

Kanishka Tyagi^a; Chinmay Rane^b; Harshvardhan^c; Michael Manry^d    a Aptiv Advanced Research Center, Agoura Hills, CA, United States^b Quantiphi, Inc., Marlborough, MA, United States^c Department of Civil Engineering, Indian Institute of Technology, Delhi, India^d 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 ...