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Introduction to Machine Learning with Applications in Information Security provides a class-tested introduction to a wide variety;
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Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested introduction to a;
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. Machine Learning and Cognitive Science Applications in Cyber Security examines different applications of cognition that can be used to detect;
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AN INTRODUCTION TO MACHINE LEARNING THAT INCLUDES THE FUNDAMENTAL TECHNIQUES, METHODS, AND APPLICATIONS PROSE Award Finalist 2019;
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This book provides an introduction to machine learning and cloud computing, both from a conceptual level, along with their usage with;
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such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results. Key;
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submissions. The papers present research on such topics as computing methodology; machine learning; artificial intelligence; information systems;
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of topics, including data analytics; AI; machine and deep learning; information management, security, processing techniques and interpretation;
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applications of machine learning, a subset of the field of artificial intelligence. Artificial intelligence is considered to be the next-big-game;
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This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered;
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solution to other information security threats.Discover novel research into the uses of machine-learning principles and algorithms to;
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development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to;
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data transmission when associated with centralized cloud solutions and uses machine learning algorithms to handle large amounts of raw data;
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The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have;
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The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning;
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with a machine learning background, then introduces machine learning concepts to computer security professionals. Realizing the massive;
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technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk;
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technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk;
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information systems; decision support and control systems; machine learning and data mining; multiple model approach to machine learning; innovations;
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information systems; decision support and control systems; machine learning and data mining; multiple model approach to machine learning; innovations;
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covers a range of topics, including data analytics; AI; machine and deep learning; information management, security, processing techniques and;
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Learning with Applications presents methods that are used to perform various Machine Learning and Artificial Intelligence tasks in conjunction with;
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learning methods to develop and validate tools for assisting the diagnosis and treatment of patients with brain disorders. Machine Learning;
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Jones & Bartlett Learning Virtual Security Cloud Labs, that provide real-world experience with measurable learning outcomes. About the Series;
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Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and;
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based on relevant conceptual and formal development. The coverage is wide, ranging from machine learning to the use of data on the Semantic Web;
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with identifying loopholes in a self-learning security system and will be able to efficiently breach a machine learning system. What you will;
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