This accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. It provides study exercises at the end of each chapter, plus examples, definitions, theorems, and illustrations.
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Dr. Wolfgang Ertel is a professor at the Institute for Artificial Intelligence at the Ravensburg-Weingarten University of Applied Sciences, Germany.
This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated second edition also includes new material on deep learning.Topics and features:Presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated websiteContains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoonsIncludes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learningReports on developments in deep learning, including applications of neural networks to generate creative content such as text, music and art (NEW)Examines performance evaluation of clustering algorithms, and presents two practical examples explaining Bayes’ theorem and its relevance in everyday life (NEW)Discusses search algorithms, analyzing the cycle check, explaining route planning for car navigation systems, and introducing Monte Carlo Tree Search (NEW)Includes a section in the introduction on AI and society, discussing the implications of AI on topics such as employment and transportation (NEW)Ideal for foundation courses or modules on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of mathematics tounderstand the material.Dr. Wolfgang Ertel is a professor at the Institute for Artificial Intelligence at the Ravensburg-Weingarten University of Applied Sciences, Germany.
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Zustand: Wie neu. Second Edition 2017. 372 S. This accessible textbook provides a comprehensive introduction to the fundamental concepts, methods and applications of artificial intelligence. Designed for undergraduate students, it explores key areas such as intelligent agents, search algorithms, knowledge representation, machine learning, neural networks, natural language processing and robotics. The authors combine theoretical foundations with practical examples and programming exercises, helping readers understand how modern AI systems are developed and applied. Ideal for students of computer science, data science and software engineering, the book offers a solid foundation for further study in one of the most important technological fields of our time. 5 Reasons Why You Need This Book Clear introduction to the core concepts of artificial intelligence Covers machine learning, neural networks and intelligent systems Ideal for undergraduate computer science students Combines theory with practical examples and applications Excellent foundation for advanced AI and data science studies HC1-908-4 / 8-01388084 Sprache: Englisch Gewicht in Gramm: 726 Taschenbuch, Maße: 15.49 cm x 2.13 cm x 23.5 cm. Bestandsnummer des Verkäufers 439050
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