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  <titleInfo>
    <title>Artificial intelligence with python / by Teik Toe Teoh, and Zheng Rong</title>
  </titleInfo>
  <name type="personal">
    <namePart>Teoh, Teik Toe.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Rong, Zheng.</namePart>
  </name>
  <typeOfResource/>
  <originInfo>
    <place>
      <placeTerm type="text">Singapore</placeTerm>
    </place>
    <publisher>Springer Nature</publisher>
    <dateIssued>2022</dateIssued>
    <edition>1st edition.</edition>
    <issuance/>
  </originInfo>
  <physicalDescription>
    <extent>xiv, 336 p. 24 cm.</extent>
  </physicalDescription>
  <abstract>The aim of the book is to make AI accessible and easy to understand for people with little to no programming experience though practical exercises. Newcomers will gain the necessary knowledge on how to create such systems, which are capable of executing tasks that require some form of human-like intelligence.

This book introduces readers to various topics and examples of programming in Python, as well as key concepts in artificial intelligence. Python programming skills will be imparted as we go along. Concepts and code snippets will be covered in a step-by-step manner, to guide and instill confidence in beginners. Complex subjectsin deep learning and machine learning will be broken down into easy-to-digest content and examples. Artificial intelligence implementations will also be shared, allowing beginners to generate their own artificial intelligence algorithms for reinforcement learning, style transfer, chatbots, speech, and natural language processing.</abstract>
  <subject>
    <topic>AI with Python</topic>
  </subject>
  <subject>
    <topic>Artificial Intelligence</topic>
  </subject>
  <classification authority="udc">004.8:004.438 TEO</classification>
  <relatedItem type="series">
    <titleInfo>
      <title>Machine learning: foundations, methodologies and applications</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">9789811686146</identifier>
  <recordInfo>
    <recordChangeDate encoding="iso8601">20260902120955.0</recordChangeDate>
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