Handbook of Research on Machine Learning - Foundations and Applications (Hardcover)

This volume takes the reader on a technological voyage of machine learning advancements, highlighting the systematic changes in algorithms, challenges, and constraints. The technological advancements in the ML arena have transformed and revolutionized several fields, including transportation, agriculture, finance, weather monitoring, and others. This book brings together researchers, authors, industrialists, and academicians to cover a vast selection of topics in ML, starting with the rudiments of machine learning approaches and going on to specific applications in healthcare and industrial automation. The book begins with an overview of the ethics, security and privacy issues, future directions, and challenges in machine learning as well as a systematic review of deep learning techniques and provides an understanding of building generative adversarial networks. Chapters explore predictive data analytics for health issues. The book also adds a macro dimension by highlighting the industrial applications of machine learning, such as in the steel industry, for urban information retrieval, in garbage detection, in measuring air pollution, for stock market predictions, for underwater fish detection, as a fake news predictor, and more.

General

Imprint:	Apple Academic Press Inc.
Country of origin:	Canada
Release date:	July 2022
First published:	2023
Editors:	Monika Mangla • Subhash K. Shinde • Vaishali Mehta • Nonita Sharma • Sachi Nandan Mohanty
Dimensions:	234 x 156 x 36mm (L x W x T)
Format:	Hardcover
Pages:	564
ISBN-13:	978-1-77463-868-2
Categories:	Books > Professional & Technical > Environmental engineering & technology > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General Promotions
LSN:	1-77463-868-1
Barcode:	9781774638682

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