Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 35,18
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 47,42
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Editore: Packt Publishing 5/31/2023, 2023
ISBN 10: 1804619477 ISBN 13: 9781804619476
Lingua: Inglese
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 49,86
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Aggiungi al carrelloPaperback or Softback. Condizione: New. 10 Machine Learning Blueprints You Should Know for Cybersecurity: Protect your systems and boost your defenses with cutting-edge AI techniques 1.25. Book.
Da: California Books, Miami, FL, U.S.A.
EUR 50,61
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Da: Russell Books, Victoria, BC, Canada
EUR 55,21
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Aggiungi al carrellopaperback. Condizione: New. Special order direct from the distributor.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 53,31
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 53,30
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 58,02
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Da: Books Puddle, New York, NY, U.S.A.
EUR 86,16
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Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 58,82
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 54,04
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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: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 58,83
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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 526.
Da: Majestic Books, Hounslow, Regno Unito
EUR 88,15
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 88,74
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Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 70,84
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Work on 10 practical projects, each with a blueprint for a different machine learning technique, and apply them in the real world to fight against cybercrimePurchase of the print or Kindle book includes a free PDF Elektronisches BuchKey Features:Learn how to frame a cyber security problem as a machine learning problemExamine your model for robustness against adversarial machine learningBuild your portfolio, enhance your resume, and ace interviews to become a cybersecurity data scientistBook Description:Machine learning in security is harder than other domains because of the changing nature and abilities of adversaries, high stakes, and a lack of ground-truth data. This book will prepare machine learning practitioners to effectively handle tasks in the challenging yet exciting cybersecurity space.The book begins by helping you understand how advanced ML algorithms work and shows you practical examples of how they can be applied to security-specific problems with Python - by using open source datasets or instructing you to create your own. In one exercise, you'll also use GPT 3.5, the secret sauce behind ChatGPT, to generate an artificial dataset of fabricated news. Later, you'll find out how to apply the expert knowledge and human-in-the-loop decision-making that is necessary in the cybersecurity space. This book is designed to address the lack of proper resources available for individuals interested in transitioning into a data scientist role in cybersecurity. It concludes with case studies, interview questions, and blueprints for four projects that you can use to enhance your portfolio.By the end of this book, you'll be able to apply machine learning algorithms to detect malware, fake news, deep fakes, and more, along with implementing privacy-preserving machine learning techniques such as differentially private ML.What You Will Learn:Use GNNs to build feature-rich graphs for bot detection and engineer graph-powered embeddings and featuresDiscover how to apply ML techniques in the cybersecurity domainApply state-of-the-art algorithms such as transformers and GNNs to solve security-related issuesLeverage ML to solve modern security issues such as deep fake detection, machine-generated text identification, and stylometric analysisApply privacy-preserving ML techniques and use differential privacy to protect user data while training ML modelsBuild your own portfolio with end-to-end ML projects for cybersecurityWho this book is for:This book is for machine learning practitioners interested in applying their skills to solve cybersecurity issues. Cybersecurity workers looking to leverage ML methods will also find this book useful. An understanding of the fundamental machine learning concepts and beginner-level knowledge of Python programming are needed to grasp the concepts in this book. Whether you're a beginner or an experienced professional, this book offers a unique and valuable learning experience that'll help you develop the skills needed to protect your network and data against the ever-evolving threat landscape.