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Comprehensive coverage of AI topics from basics to advanced
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Practical implementation guides and examples
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Insights into the future of AI and its impact on various industries
This third edition provides a comprehensive, accessible presentation of AI, including examples, applications, full-color images, and human interest boxes. New chapters on deep learning, AI security, and AI programming keep the content cutting-edge. Topics like neural networks, genetic algorithms, natural language processing, planning, and complex board games are covered.
The course starts with an AI overview, moving through uninformed search, intelligent search methods, and game-based strategies. It delves into logic in AI, knowledge representation, production systems, uncertainty in AI, and expert systems. Middle chapters cover machine learning, neural networks, and deep learning. It continues with nature-inspired search methods, natural language processing, and automated planning, ending with robotics and advanced computer games.
These AI concepts are crucial for developing sophisticated AI applications. This book transitions you from novice to proficient AI practitioner, equipped with practical skills and comprehensive knowledge. Companion files with resources, simulations, and figures enhance learning. By the end, you'll understand AI principles and applications, ready to tackle real-world challenges.
Students and professionals in computer science and engineering will find this book invaluable. A basic understanding of programming and mathematics is recommended. Ideal for those seeking a thorough understanding of AI concepts and applications.
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Understand AI fundamentals
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Implement search algorithms
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Explore machine learning
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Develop expert systems
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Delve into neural networks
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Master natural language processing