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: Deep learning in Python
    sub title: evaluating models for social science
  name:
    name part: Barari, Soubhik
    role:
      role term: Academic.
  type of resource: moving image
  genre: videorecording
  origin info:
    place:
      place term: enk
    date issued: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file (00:04:26)) : sound, colour.
  abstract: Soubhik Barari, PhD student in Political Science, IQSS, at Harvard University, discusses the limitations of using the accuracy metric to evaluate predictive performance and suggests precision and recall metrics to deal with type I and type II errors.
  target audience: specialized
  note: Academic, Soubhik Barari.
  note: Closed-captions in English.
  subject:
    topic: Python (Computer program language)
  subject:
    topic: Machine learning
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Python (Langage de programmation)
  subject:
    topic: Apprentissage automatique
  subject:
    topic: Réseaux neuronaux (Informatique)
  subject:
    topic: Machine learning
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Python (Computer program language)
  classification: QA76.73.P98 D44 2019
  classification: 005.133
  related item:
    title info:
      title: Deep Learning in Python ; 13
  identifier: 9781526494948
  identifier: 1526494949
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 190508
    record change date: 20241105202747.1
    record identifier: in00005512141
    language of cataloging:
      language term: eng