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: Machine learning projects with Java
  name:
    name part: Lelek, Tomasz
    role:
      role term: creator
    role:
      role term: speaker.
  type of resource: moving image
  genre: videorecording
  genre: Instructional films.
  genre: Films de formation.
  origin info:
    place:
      place term: xx
    date issued: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 streaming video file (2 hr., 12 min., 8 sec.))
  abstract: "In this course, you will learn how to build a model that takes complex feature vector form sensor data and classifies data points into classes with similar characteristics. Then you will predict the price of a house based on historical data. Finally, you will build a Deep Learning model that can guess personality traits using labeled data."--Resource description page
  note: Tomasz Lelek.
  note: Title from title screen (Safari, viewed April 30, 2019).
  note: Release date from resource description page (Safari, viewed April 30, 2019).
  note: Presenter, Tomasz Lelek.
  subject:
    topic: Machine learning
  subject:
    topic: Java (Computer program language)
  subject:
    topic: Apprentissage automatique
  subject:
    topic: Java (Langage de programmation)
  subject:
    topic: Java (Computer program language)
  subject:
    topic: Machine learning
  classification: Q325.5
  identifier: CL0501000045 Safari Books Online
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: UMI
    record creation date: 190501
    record change date: 20241201230849.2
    record identifier: in00005554012
    language of cataloging:
      language term: eng