April 2022
Intermediate to advanced
516 pages
22h 32m
English
book
Artificial Intelligence and Machine Learning for EDGE Computing
by Rajiv Pandey, Sunil Kumar Khatri, Neeraj Kumar Singh, Parul Verma
Content preview from Artificial Intelligence and Machine Learning for EDGE Computing
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Chapter 1: Supervised learning
Kanishka Tyagia; Chinmay Raneb; Michael Manryc a Aptiv Advanced Research Center, Agoura Hills, CA, United Statesb Quantiphi, Inc., Marlborough, MA, United Statesc Department of Electrical Engineering, The University of Texas at Arlington, Arlington, TX, United States
Abstract
Machine learning models learn different tasks with different paradigms that effectively aim to get the models better through training. Supervised learning is a common form of machine learning training paradigm that has been used successfully in real-world machine learning applications. Typical supervised learning involves two phases. In phase 1 (commonly called training), we give input and expect output (also known as ground truth) ...
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