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Springer Fundamentals of Artificial Intelligence Textbook

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Description

Explore the core foundations and modern advancements of AI with Fundamentals of Artificial Intelligence by Springer. This comprehensive text provides a deep dive into essential topics including Constraint Satisfaction Problems, Adversarial Search, and Game Theory. Readers gain insight into Statistical Learning Theory, Automated Planning, and the mechanics of Intelligent Agents. The book bridges the gap between theory and application by combining theoretical concepts with practical approaches. It covers vital modern domains such as Information Retrieval, Natural Language and Speech Processing, and Machine Vision. Designed primarily for students, this resource uses a wealth of examples and illustrations to explain complex developments in the field of artificial intelligence.

Key Features

Springer provides a thorough introduction to the foundations of present day AI and recent technological developments.

The text covers specialized topics like Constraint Satisfaction Problems, Adversarial Search, and Game Theory.

Gain knowledge in modern AI domains including Statistical Learning Theory, Automated Planning, and Intelligent Agents.

Detailed sections focus on Information Retrieval, Natural Language and Speech Processing, and Machine Vision.

Learn through a wealth of examples and illustrations that pair theoretical concepts with practical approaches.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 April 2020
Listed Since
16 February 2020

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