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:
    non sort: The
    title: little book of data
    sub title: understanding the powerful analytics that fuel AI, make or break careers, and could just end up saving the world
  title info:
    title: Understanding the powerful analytics that fuel AI, make or break careers, and could just end up saving the world
  title info:
    title: Understanding the powerful analytics that fuel artificial intelligence, make or break careers, and could just end up saving the world
  name:
    name part: Evans, Justin
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: tnu
    date issued: 2025
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xii, 278 pages)
  note: Justin Evans.
  note: Place of publication from publisher's website.
  note: Includes index.
  subject:
    topic: Data mining
  subject:
    topic: Decision making
    topic: Data processing
  subject:
    topic: Problem solving
    topic: Data processing
  subject:
    topic: Exploration de données (Informatique)
  subject:
    topic: Data mining
  subject:
    topic: Decision making
    topic: Data processing
  subject:
    topic: Problem solving
    topic: Data processing
  classification: QA76.9.D343 E93 2025
  classification: 006.3/12
  identifier: 9781400248360 (electronic bk.)
  identifier: 1400248361
  identifier: 9781400248353
  location:
    physical location: POD
  record info:
    record content source: UKMGB
    record creation date: 250527
    record change date: 20250810205613.2
    record identifier: in00005657978
    language of cataloging:
      language term: eng