Da: medimops, Berlin, Germania
EUR 22,61
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Da: California Books, Miami, FL, U.S.A.
EUR 46,65
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 37,83
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Packt Publishing 12/30/2022, 2022
ISBN 10: 1804618853 ISBN 13: 9781804618851
Lingua: Inglese
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 46,02
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Machine Learning Security Principles: Keep data, networks, users, and applications safe from prying eyes 1.69. Book.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 47,44
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Da: Books Puddle, New York, NY, U.S.A.
EUR 53,41
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 43,64
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 47,42
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 51,78
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Da: BGV Books LLC, Murray, KY, U.S.A.
EUR 21,77
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 48,14
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 54,31
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Da: Majestic Books, Hounslow, Regno Unito
EUR 52,29
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 55,19
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 60,59
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 100.
Da: moluna, Greven, Germania
EUR 57,63
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 68,82
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Thwart hackers by preventing, detecting, and misdirecting access before they can plant malware, obtain credentials, engage in fraud, modify data, poison models, corrupt users, eavesdrop, and otherwise ruin your day Key Features:Discover how hackers rely on misdirection and deep fakes to fool even the best security systems Retain the usefulness of your data by detecting unwanted and invalid modifications Develop application code to meet the security requirements related to machine learning Book Description: Businesses are leveraging the power of AI to make undertakings that used to be complicated and pricy much easier, faster, and cheaper. The first part of this book will explore these processes in more depth, which will help you in understanding the role security plays in machine learning. As you progress to the second part, you'll learn more about the environments where ML is commonly used and dive into the security threats that plague them using code, graphics, and real-world references. The next part of the book will guide you through the process of detecting hacker behaviors in the modern computing environment, where fraud takes many forms in ML, from gaining sales through fake reviews to destroying an adversary's reputation. Once you've understood hacker goals and detection techniques, you'll learn about the ramifications of deep fakes, followed by mitigation strategies. This book also takes you through best practices for embracing ethical data sourcing, which reduces the security risk associated with data. You'll see how the simple act of removing personally identifiable information (PII) from a dataset lowers the risk of social engineering attacks. By the end of this machine learning book, you'll have an increased awareness of the various attacks and the techniques to secure your ML systems effectively. What You Will Learn:Explore methods to detect and prevent illegal access to your system Implement detection techniques when access does occur Employ machine learning techniques to determine motivations Mitigate hacker access once security is breached Perform statistical measurement and behavior analysis Repair damage to your data and applications Use ethical data collection methods to reduce security risks Who this book is for: Whether you're a data scientist, researcher, or manager working with machine learning techniques in any aspect, this security book is a must-have . While most resources available on this topic are written in a language more suitable for experts, this guide presents security in an easy-to-understand way, employing a host of diagrams to explain concepts to visual learners. While familiarity with machine learning concepts is assumed, knowledge of Python and programming in general will be useful.