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US$ 103.26
Convert currencyUS$ 33.33 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 396 pages. 9.25x6.10x9.21 inches. In Stock.
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Unlocking Artificial Intelligence : From Theory to Applications
Published by Springer Nature Switzerland, 2024
ISBN 10: 3031648315 ISBN 13: 9783031648311
Language: English
US$ 63.72
Convert currencyUS$ 73.78 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book provides a state-of-the-art overview of current machine learning research and its exploitation in various application areas. It has become apparent that the deep integration of artificial intelligence (AI) methods in products and services is essential for companies to stay competitive. The use of AI allows large volumes of data to be analyzed, patterns and trends to be identified, and well-founded decisions to be made on an informative basis. It also enables the optimization of workflows, the automation of processes and the development of new services, thus creating potential for new business models and significant competitive advantages.The book is divided in two main parts: First, in a theoretically oriented part, various AI/ML-related approaches like automated machine learning, sequence-based learning, deep learning, learning from experience and data, and process-aware learning are explained. In a second part, various applications are presented that benefit from the exploitation of recent research results. These include autonomous systems, indoor localization, medical applications, energy supply and networks, logistics networks, traffic control, image processing, and IoT applications.Overall, the book offers professionals and applied researchers an excellent overview of current exploitations, approaches, and challenges of AI/ML-related research.
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US$ 85.48
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a comprehensive overview of Artificial Intelligence (AI), covering both its theoretical foundations and practical applications. The book delves into the fundamental principles of AI, including knowledge representation, reasoning, search, and learning algorithms. It explores various AI programming languages such as LISP and PROLOG, and examines formalized symbolic logics to handle inconsistencies and uncertainties in knowledge representation. The concept of probabilistic reasoning and its application in Bayesian networks is discussed, along with the representation of structured knowledge using graphs, frames, and related structures. The book explores object-oriented representations and the utilization of inheritance and instantiation in knowledge representation. Search and control strategies for general problem-solving, production systems, and heuristic search techniques are thoroughly explained. The application of AI in game playing, constraint satisfaction problems, and expert systems is explored, along with matching techniques and knowledge organization and management.
