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: Prediction machines
    sub title: the simple economics of artificial intelligence
  name:
    name part: Agrawal, Ajay
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Gans, Joshua
    name part: 1968-
    role:
      role term: author.
  name:
    name part: Goldfarb, Avi
    role:
      role term: author.
  name:
    name part: ProQuest (Firm)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: mau
    date issued: 2018
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  table of contents: Cheap changes everything -- The magic of prediction -- Why it's called intelligence -- Data is the new oil -- The new division of labor -- Unpacking decisions -- The value of judgment -- Taming complexity -- What machines can learn -- Fully automated decision-making -- Deconstructing workflows -- Decomposing decisions -- Job redesign -- AI in the C-suite -- When AI transforms your business -- Managing AI risk -- Beyond business.
  note: Ajay Agrawal, Joshua Gans, and Avi Goldfarb.
  note: Electronic resource.
  note: Includes bibliographical references and index.
  subject:
    topic: Artificial intelligence
    topic: Economic aspects
  subject:
    topic: Decision making
    topic: Statistical methods
  subject:
    topic: Forecasting
    topic: Statistical methods
  classification: TA347.A78 A385 2018
  classification: 658/.0563
  related item:
    identifier: (DLC) 2017049211
  identifier: 9781633695689 (electronic bk.)
  identifier: 1633695689 (electronic bk.)
  identifier: 9781633695672
  identifier: 1633695670
  identifier: https://ebookcentral.proquest.com/lib/tamucs/detail.action
  record info:
    record content source: NhCcYBP
    record creation date: 180418
    record change date: 20221130134200.7
    record identifier: in00004037884