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  <title>Demystifying Artificial Intelligence :</title>
  <subTitle>Symbolic, Data-Driven, Statistical and Ethical AI</subTitle>
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  <namePart>Emmanuel Gillain</namePart>
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   <placeTerm type="text">Berlin</placeTerm>
   <publisher>De Gruyter</publisher>
   <dateIssued>2024</dateIssued>
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  <languageTerm type="text">English</languageTerm>
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  <extent>460 Halaman</extent>
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 <note>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.</note>
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  <topic>Pembelajaran Mesin</topic>
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  <topic>Bayesian Reasoning and Machine Learning</topic>
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  <topic>Kecerdasan Buatan</topic>
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