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: Artificial Intelligence Foundations
    sub title: Learning from experience
  name:
    name part: Lowe, Andrew
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Lawless, Steve
    role:
      role term: author.
  type of resource: text
  genre: elektronické knihy
  genre: electronic books
  origin info:
    place:
      place term: xxk
    date issued: 2021
    copyright date: 2021
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (180 pages)
  abstract: In alignment with BCS AI Foundation and Essentials certificates, this introductory guide provides the understanding you need to start building artificial intelligence (AI) capability into your organisation.You will learn how AI is being utilised today to support products, services, science and engineering, and how it is likely to be used in the future to balance the talents of humans and machines. You will explore robotics and machine learning within the context of AI, and discover how the challenges AI presents are being addressed. You will delve into the theory behind AI and machine learning projects, examining techniques for learning from data, the use of neural networks and why algorithms are so important in the development of a new AI agent or system.
  table of contents: Introduction -- Ethical and Sustainable Human and Artificial AIArtificial Intelligence and RoboticsApplying The Benefits of AI and Identifying Challenges and RisksStarting AI -- How to Build A Machine Learning ToolboxAlgorithms The Management, Roles and Responsibilities of Humans and MachinesAI in Use in Industry -- Reimagining Everything in the Fourth Industrial RevolutionAI Case Studies
  target audience: specialized
  note: Andrew Lowe, Steve Lawless.
  note: "BCS Learning & Development Limited"
  note: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  subject:
    topic: Artificial intelligence
  subject:
    topic: COMPUTERS / Intelligence (AI) & Semantics
  identifier: 1780175299
  identifier: 9781780175294
  identifier: 1780175302
  identifier: 9781780175300
  identifier: 1780175310
  identifier: 9781780175317
  identifier: https://proxy.k.utb.cz/login
  access condition: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  record info:
    record content source: BCSLD
    record creation date: 211019
    record change date: 20240717213016.0
    record identifier: kn-on1277197155
    language of cataloging:
      language term: eng