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Demystifying Artificial Intelligence

The book provides an overview of the different AI technologies, demystifying terms such as search, reasoning, learning, adapting, understanding, and interacting. It covers the two dominant paradigms in AI, both the “data-driven” and “symbolic” AI systems, showing how they can complement each other....

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Gardado en:
Formato: Online
Idioma:inglés
Publicado: De Gruyter 2024
Subjects:
Machine Learning
Natural Language Processing
Neural Networks
Logic Reasoning
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction
Acceso en liña:ONIX_20241106_9783111426143_32
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Summary:The book provides an overview of the different AI technologies, demystifying terms such as search, reasoning, learning, adapting, understanding, and interacting. It covers the two dominant paradigms in AI, both the “data-driven” and “symbolic” AI systems, showing how they can complement each other. The theory is illustrated with 22 real-world examples from industry, giving a solid understanding of AI concepts, applicability, and limitations.

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