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: AI and machine learning for on-device development
    sub title: a programmer's guide
  name:
    name part: Moroney, Laurence
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Greenley, Ray
    role:
      role term: narrator.
  type of resource: sound recording-nonmusical
  genre: Audiobooks.
  genre: Handbooks and manuals.
  origin info:
    place:
      place term: xx
    date issued: 2022
    edition: [First edition].
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 audio file (9 hr., 17 min.))
  abstract: AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android. Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques and tools, then walks you through writing Android and iOS apps powered by common ML models like computer vision and text recognition, using tools such as ML Kit, TensorFlow Lite, and Core ML. If you're a mobile developer, this book will help you take advantage of the ML revolution today. - Explore the options for implementing ML and AI on mobile devices - Create ML models for iOS and Android - Write ML Kit and TensorFlow Lite apps for iOS and Android, and Core ML/Create ML apps for iOS - Choose the best techniques and tools for your use case, such as cloud-based versus on-device inference and high-level versus low-level APIs - Learn privacy and ethics best practices for ML on devices.
  note: Laurence Moroney.
  note: Read by Ray Greenley.
  subject:
    topic: Application software
    topic: Development
  subject:
    topic: Machine learning
  subject:
    topic: Mobile computing
  subject:
    topic: Application software
    topic: Development
  subject:
    topic: Machine learning
  subject:
    topic: Mobile computing
  classification: Q325.5
  classification: 006.31
  identifier: 9781663720979
  identifier: 1663720975
  identifier: 9781663720979 O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: ORMDA
    record creation date: 221213
    record change date: 20260128183457.1
    record identifier: in00004673298
    language of cataloging:
      language term: eng