Lingua: Inglese
Editore: Engineering Science Reference, 2021
ISBN 10: 1799832996 ISBN 13: 9781799832997
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Lingua: Inglese
Editore: Engineering Science Reference, 2021
ISBN 10: 1799832996 ISBN 13: 9781799832997
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Lingua: Inglese
Editore: Engineering Science Reference, 2021
ISBN 10: 1799832996 ISBN 13: 9781799832997
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Lingua: Inglese
Editore: Engineering Science Reference, 2021
ISBN 10: 1799832996 ISBN 13: 9781799832997
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Engineering Science Reference, 2021
ISBN 10: 1799832996 ISBN 13: 9781799832997
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Lingua: Inglese
Editore: Engineering Science Reference, 2021
ISBN 10: 1799832996 ISBN 13: 9781799832997
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Lingua: Inglese
Editore: Engineering Science Reference, 2021
ISBN 10: 1799832996 ISBN 13: 9781799832997
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents innovative research on the current impact of machine learning methods within data security as well as its various applications and newfound challenges. The book highlights a wide range of topics, including anomaly detection systems, biometrics, and.
Lingua: Inglese
Editore: Engineering Science Reference, 2021
ISBN 10: 1799832996 ISBN 13: 9781799832997
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 488,80
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The artificial intelligence subset machine learning has become a popular technique in professional fields as many are finding new ways to apply this trending technology into their everyday practices. Two fields that have majorly benefited from this are pattern recognition and information security. The ability of these intelligent algorithms to learn complex patterns from data and attain new performance techniques has created a wide variety of uses and applications within the data security industry. There is a need for research on the specific uses machine learning methods have within these fields, along with future perspectives. The Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security is a collection of innovative research on the current impact of machine learning methods within data security as well as its various applications and newfound challenges. While highlighting topics including anomaly detection systems, biometrics, and intrusion management, this book is ideally designed for industrial experts, researchers, IT professionals, network developers, policymakers, computer scientists, educators, and students seeking current research on implementing machine learning tactics to enhance the performance of information security.