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    Artificial Intelligence in the 21st Century. The Future of Technology and Human Innovation Mercury Learning and Information, Stephen Lucci, Sarhan M. Musa, Danny Kopec

    (ebook) (audiobook) (audiobook) Książka w języku 1
    Artificial Intelligence in the 21st Century. The Future of Technology and Human Innovation Mercury Learning and Information, Stephen Lucci, Sarhan M. Musa, Danny Kopec - okladka książki

    Artificial Intelligence in the 21st Century. The Future of Technology and Human Innovation Mercury Learning and Information, Stephen Lucci, Sarhan M. Musa, Danny Kopec - okladka książki

    Artificial Intelligence in the 21st Century. The Future of Technology and Human Innovation Mercury Learning and Information, Stephen Lucci, Sarhan M. Musa, Danny Kopec - audiobook MP3

    Artificial Intelligence in the 21st Century. The Future of Technology and Human Innovation Mercury Learning and Information, Stephen Lucci, Sarhan M. Musa, Danny Kopec - audiobook CD

    Autorzy:
    Mercury Learning and Information, Stephen Lucci, Sarhan M. Musa, Danny Kopec
    Wydawnictwo:
    Mercury_Learning (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    739
    Dostępne formaty:
         PDF
         ePub
    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.

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    O autorach książki

    MERCURY LEARNING and INFORMATION publishes content in the areas of science and medicine, technology and computing, engineering, and mathematics designed for the professional/reference, trade, library, higher education, career school, and online training markets.
    Stephen Lucci holds a Ph.D. from the CUNY Graduate School and currently teaches computer science at The City College of New York. Dr. Lucci has published in the areas of high-performance computing and artificial intelligence.
    Sarhan M. Musa holds a PhD in electrical engineering and is currently the Associate Dean of Graduate Studies, Professor of Electrical and Computer Engineering, and the Boeing Welliver & LTD Sprint Fellow at Prairie View A&M University, Texas.
    Danny Kopec (Late) taught at Brooklyn College. He authored several books and journal articles and was an International Chess Master.

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