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. Bringing together machine learning, cognitive science and other aspects of artificial intelligence to help provide a roadmap for future research on;
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This book provides a systematic and comprehensive overview of machine learning with cognitive science methods and technologies which have;
Vergelijkbare producten zoals Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough
In the past few years, with the evolution of advanced persistent threats and mutation techniques, sensitive and damaging information from a;
Vergelijkbare producten zoals Machine Learning and Cognitive Science Applications in Cyber Security
This book provides a collection of selected papers presented at the International Conference on Cybernetics, Cognition and Machine Learning;
Vergelijkbare producten zoals Cybernetics Cognition and Machine Learning Applications
field, Statistical Reinforcement Learning: Modern Machine Learning Approaches presents fundamental concepts and practical algorithms;
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model-free approaches, policy iteration, and policy search methods. Covers the range of reinforcement learning algorithms from a modern;
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in a wide range of engineering and computer science case studies. Cognitive science, a cognitive model of the brain, knowledge representation;
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of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber physical systems and;
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The book discusses the analysis, comparison and integration of computational approaches to learning and research on human learning;
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Interest in machine learning is exploding worldwide, both in research and for industrial applications. Machine learning is fast becoming a;
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be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method;
Vergelijkbare producten zoals Algorithmic Aspects of Machine Learning
be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method;
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) propositionalization approaches, established in relational learning and inductive logic programming, and (ii) embedding approaches, which have gained;
Vergelijkbare producten zoals Representation Learning
) propositionalization approaches, established in relational learning and inductive logic programming, and (ii) embedding approaches, which have gained;
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Solve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes;
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is the pluralistic walkthrough, in which a user is invited to provide feedback while members of a product team listen, observe the user, and ask;
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This book highlights recent advances in Cybernetics, Machine Learning and Cognitive Science applied to Communications Engineering and;
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Finding meaning in increasingly larger and more complex datasets is a growing demand of the modern world. Machine learning and predictive;
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Learn about the emergence and evolution of IT in the enterprise, see how machine learning is transforming business intelligence, and;
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, processing and analyzing data from biometrics and provides a review of intelligent and cognitive learning tools which can be adopted in this;
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and Lie group theory. Lie group machine learning is a theoretical basis for brain intelligence, Neuromorphic learning (NL), advanced machine;
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Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches;
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illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning * Features a companion website with an;
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communities. The interplay between optimization and machine learning is one of the most important developments in modern computational science;
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This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We;
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. Applications of machine learning in wireless communications have been receiving a lot of attention, especially in the era of big data and IoT, where;
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This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered;
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