Language: English
Published by Medical Info Science Reference, 2020
ISBN 10: 1799827429 ISBN 13: 9781799827429
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Language: English
Published by Apple Academic Press, 2024
ISBN 10: 177463869X ISBN 13: 9781774638699
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Language: English
Published by Apple Academic Press, 2024
ISBN 10: 177463869X ISBN 13: 9781774638699
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Language: English
Published by Apple Academic Press, 2024
ISBN 10: 177463869X ISBN 13: 9781774638699
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Language: English
Published by Apple Academic Press, 2024
ISBN 10: 177463869X ISBN 13: 9781774638699
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Language: English
Published by Apple Academic Press, 2024
ISBN 10: 177463869X ISBN 13: 9781774638699
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Language: English
Published by Apple Academic Press, 2024
ISBN 10: 177463869X ISBN 13: 9781774638699
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Condition: New. pages cm First edition Includes bibliographical references and index.
Language: English
Published by Apple Academic Press, 2024
ISBN 10: 177463869X ISBN 13: 9781774638699
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Apple Academic Press Inc., 2024
ISBN 10: 177463869X ISBN 13: 9781774638699
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Language: English
Published by Apple Academic Press, 2024
ISBN 10: 177463869X ISBN 13: 9781774638699
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Language: English
Published by Apple Academic Press, 2024
ISBN 10: 177463869X ISBN 13: 9781774638699
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Language: English
Published by Apple Academic Press Inc., 2024
ISBN 10: 177463869X ISBN 13: 9781774638699
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Language: English
Published by Apple Academic Press, 2024
ISBN 10: 177463869X ISBN 13: 9781774638699
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Seller: Books From California, Simi Valley, CA, U.S.A.
Hardcover. Condition: Very Good. Light shelfwear. Pages clean and intact.
Language: English
Published by Information Science Reference, 2009
ISBN 10: 1605667668 ISBN 13: 9781605667669
Seller: Basi6 International, Irving, TX, U.S.A.
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Seller: Buchpark, Trebbin, Germany
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 452 | Sprache: Englisch | Produktart: Bücher | In the modern data-driven era, artificial intelligence (AI) and machine learning (ML) technologies that allow a computer to mimic intelligent human behavior are essential for organizations to achieve business excellence and assist organizations in extracting useful information from raw data. AI and ML have existed for decades, but in the age of big data, this sort of analysis is in higher demand than ever, especially for customer support and analytics. The Handbook of Research on AI and Machine Learning Applications in Customer Support and Analytics investigates the applications of AI and ML and how they can be implemented to enhance customer support and analytics at various levels of organizations. This book is ideal for marketing professionals, managers, business owners, researchers, practitioners, academicians, instructors, university libraries, and students, and covers topics such as artificial intelligence, machine learning, supervised learning, deep learning, customer sentiment analysis, data mining, neural networks, and business analytics.
Language: English
Published by Information Science Reference, 2017
ISBN 10: 1522522298 ISBN 13: 9781522522294
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Language: English
Published by Apple Academic Press, 2022
ISBN 10: 1774638681 ISBN 13: 9781774638682
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Information Science Reference, 2017
ISBN 10: 1522522298 ISBN 13: 9781522522294
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Language: English
Published by Medical Information Science Reference, 2020
ISBN 10: 1799827429 ISBN 13: 9781799827429
Seller: GoldBooks, Denver, CO, U.S.A.
Condition: new.
Language: English
Published by Information Science Reference, 2017
ISBN 10: 1522522298 ISBN 13: 9781522522294
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
Language: English
Published by Apple Academic Press, 2022
ISBN 10: 1774638681 ISBN 13: 9781774638682
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 198.04
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Language: English
Published by Apple Academic Press, 2022
ISBN 10: 1774638681 ISBN 13: 9781774638682
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Apple Academic Press, 2022
ISBN 10: 1774638681 ISBN 13: 9781774638682
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Language: English
Published by Apple Academic Press, 2022
ISBN 10: 1774638681 ISBN 13: 9781774638682
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Language: English
Published by Apple Academic Press, 2022
ISBN 10: 1774638681 ISBN 13: 9781774638682
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st edition NO-PA16APR2015-KAP.
Language: English
Published by Apple Academic Press, 2022
ISBN 10: 1774638681 ISBN 13: 9781774638682
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 214.17
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Language: English
Published by Apple Academic Press, 2022
ISBN 10: 1774638681 ISBN 13: 9781774638682
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 221.74
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Language: English
Published by Apple Academic Press Inc., 2022
ISBN 10: 1774638681 ISBN 13: 9781774638682
Seller: Buchpark, Trebbin, Germany
£ 156.95
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 564 | Sprache: Englisch | Produktart: Bücher | 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.
Language: English
Published by Engineering Science Reference, 2019
ISBN 10: 1799801063 ISBN 13: 9781799801061
Seller: Buchpark, Trebbin, Germany
£ 161.33
Quantity: 2 available
Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 508 | Sprache: Englisch | Produktart: Bücher | As organizations continue to develop, there is an increasing need for technological methods that can keep up with the rising amount of data and information that is being generated. Machine learning is a tool that has become powerful due to its ability to analyze large amounts of data quickly. Machine learning is one of many technological advancements that is being implemented into a multitude of specialized fields. An extensive study on the execution of these advancements within professional industries is necessary. The Handbook of Research on Big Data Clustering and Machine Learning is an essential reference source that synthesizes the analytic principles of clustering and machine learning to big data and provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of management. Featuring research on topics such as project management, contextual data modeling, and business information systems, this book is ideally designed for engineers, economists, finance officers, marketers, decision makers, business professionals, industry practitioners, academicians, students, and researchers seeking coverage on the implementation of big data and machine learning within specific professional fields.