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Empowering artificial intelligence through machine learning : new advances and applications.

Authors :
Raju, Nedunchezhian
Rajalakshmi, M.
Goyal, Dinesh
Balamurugan, S., Prof
Elngar, Ahmed A.
Keswani, Bright
Publication Year :
2022

Abstract

Summary: "This new volume, Empowering Artificial Intelligence Through Machine Learning: New Advances and Applications, discusses various new applications of machine learning, a subset of the field of artificial intelligence. Artificial intelligence is considered to be the next big-game changer in research and technology. The volume looks at how computing has enabled machines to learn, making machines and tools become smarter in many sectors, including science and engineering, healthcare, finance, education, gaming, security, and even agriculture, plus many more areas. Topics include techniques and methods in artificial intelligence for making machines intelligent, machine learning in healthcare, using machine learning for credit card fraud detection, using artificial intelligence in education using gaming and automatization with courses and outcomes mapping, and much more. The book will be valuable for professionals, faculty, and students in electronics and communication engineering, telecommunication engineering, network engineering, computer science and information technology"-- Provided by publisher.

Details

Language :
English
ISBN :
9781003055129
ISBNs :
9781003055129
Database :
Jio Institute Digital Library Catalog
Journal :
Empowering artificial intelligence through machine learning : new advances and applications / edited by Nedunchezhian Raju, PhD, M. Rajalakshmi, PhD, Dinesh Goyal, PhD, S. Balamurugan, PhD, Ahmed Elngar, PhD, Bright Keswani, PhD.
Notes :
Includes bibliographical references and index., Description based on print version record and CIP data provided by publisher; resource not viewed.
Publication Type :
Book
Accession number :
jlc.oai.folio.org.fs00001072.b64ca858.de77.4b72.8498.67a00f5ee408
Document Type :
Bibliographies; Online; Non-fiction; Electronic document