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Artificial Intelligence: A New Synthesis

Artificial Intelligence: A New Synthesis offers a comprehensive introduction to AI concepts, combining theory with practical applications. It is ideal for students and professionals seeking a deeper understanding of AI technologies and methodologies.

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Description

Artificial Intelligence: A New Synthesis is a seminal book that provides a thorough exploration of AI concepts and practices. Authored by Nils J. Nilsson, this book is designed to bridge the gap between theoretical foundations and practical applications of artificial intelligence. It covers a wide range of topics including machine learning, neural networks, and robotics, making it a valuable resource for both students and professionals in the field.

The book is structured to offer insights into the development and implementation of AI systems, emphasizing the importance of understanding the underlying principles that drive AI technologies. Readers will find detailed explanations of algorithms and models, along with real-world examples that illustrate the application of AI in various domains.

Artificial Intelligence: A New Synthesis is published by Morgan Kaufmann and is available in multiple formats, including hardcover and digital editions. It is widely recognized for its clarity and depth, making it a recommended read for anyone looking to advance their knowledge in artificial intelligence.

While the book does not provide specific pricing information, it is available for purchase on major platforms such as Amazon. It serves as a comprehensive guide for those interested in exploring the capabilities and limitations of AI, offering a balanced view of the potential and challenges associated with these technologies.

Book Details

  • Comprehensive introduction to AI concepts

  • Theory combined with practical applications

  • Coverage of machine learning and neural networks

  • Insights into robotics

  • Detailed explanations of algorithms

  • Real-world examples

  • Published by Morgan Kaufmann

  • Available in multiple formats

Who This Book Is For

  • Academic study
  • Professional development
  • Research reference
  • AI system design
  • Algorithm understanding

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