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  <titleInfo>
    <title>Foundation  Artificial Intelligence</title>
  </titleInfo>
  <name type="personal">
    <namePart>Deshpande R.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource/>
  <originInfo>
    <publisher>Gigatech  Publishing House</publisher>
    <dateIssued>2025</dateIssued>
    <edition>1st Ed.</edition>
    <issuance/>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>508pp</extent>
  </physicalDescription>
  <abstract>This book offers a structured and curriculum-aligned approach to AI, combining theoretical foundations with practical applications. It is designed to support undergraduate and postgraduate students, educators, and researchers in building a strong understanding of AI concepts.</abstract>
  <note>CKey Highlights:

Core AI concepts, search strategies, and knowledge representation

Machine learning foundations (supervised, unsupervised, reinforcement)

Deep learning models (CNNs, RNNs, transformers, attention models)

Natural Language Processing and conversational AI

Modern applications: robotics, computer vision, autonomous systems

Ethics, bias, and societal impact of AI

Practical case studies and problem-solving insights</note>
  <identifier type="isbn">9789388480253</identifier>
  <recordInfo>
    <recordCreationDate encoding="marc">251209</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251210142105.0</recordChangeDate>
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