rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Industry 4.0, AI, and data science
    sub title: research trends and challenges
  name:
    name part: Bali, Vikram
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2021
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: "The aim of this book is to provide insight into Data Science and Artificial Learning Techniques based on Industry 4.0, conveys how Machine Learning & Data Science are becoming an essential part of industrial and academic research. Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects and highlights how new systems are being developed. Along with focusing on the research trends, challenges and future of AI in Data Science, the book explores the potential for integration of advanced AI algorithms, addresses the challenges of Data Science for Industry 4.0, covers different security issues, includes qualitative and quantitative research, and offers case studies with working models. This book also provides an overview of AI and Data Science algorithms for readers who do not have a strong mathematical background. Undergraduates, postgraduates, academicians, researchers, and industry professionals will benefit from this book and use it as a guide"--
  note: edited by Vikram Bali, Kakoli Banerjee, Narendra Kumar, Sanjay Gour, and Sunil Kumar Chawla.
  note: Includes bibliographical references and index.
  subject:
    topic: Industry 4.0
  subject:
    topic: Industrie 4.0
  subject:
    topic: COMPUTERS / Database Management / Data Mining
  subject:
    topic: BUSINESS & ECONOMICS / Operations Research
  subject:
    topic: TECHNOLOGY / Manufacturing
  subject:
    topic: Industry 4.0
  classification: T59.6
  classification: 658.4/038028563
  related item:
    title info:
      title: Industry 4.0, AI, and data science
    origin info:
      publisher: Boca Raton, FL : CRC Press, 2021.
      edition: First edition.
    identifier: (DLC) 2021004328
  related item:
    title info:
      title: Demystifying Technologies for Computational Excellence Ser
  identifier: 9781003097181
  identifier: 1003097189
  identifier: 9780367562854
  identifier: 9780367562915
  identifier: 9781000413489
  identifier: 1000413489
  identifier: 9781000413458
  identifier: 1000413454
  identifier: 2021004329
  identifier: 9781003097181 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 210202
    record change date: 20241108170157.6
    record identifier: in00005524826
    language of cataloging:
      language term: eng