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: Predictive analytics with TensorFlow
  name:
    name part: Karim, Md. Rezaul
    role:
      role term: creator
    role:
      role term: author.
  type of resource: moving image
  genre: videorecording
  genre: Instructional films.
  genre: Films de formation.
  origin info:
    place:
      place term: xx
    date issued: 2018
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 streaming video file (5 hr., 21 min., 15 sec.))
  abstract: "Predictive analytics discovers hidden patterns in structured and unstructured data for automated decision-making in business intelligence. This course will help you build, tune, and deploy predictive models with TensorFlow in three main divisions. The first division covers linear algebra, statistics, and probability theory for predictive modeling. The second division covers developing predictive models via supervised (classification and regression) and unsupervised (clustering) algorithms. It then explains how to develop predictive models for NLP and covers reinforcement learning algorithms. Lastly, this division covers developing a factorization machine-based recommendation system. The third division covers deep learning architectures for advanced predictive analytics, including deep neural networks and recurrent neural networks for high-dimensional and sequence data. Finally, you'll use convolutional neural networks for predictive modeling for emotion recognition, image classification, and sentiment analysis."--Resource description page
  note: Md. Rezaul Karim.
  note: Title from resource description page (Safari, viewed October 10, 2018).
  subject:
    topic: Data mining
  subject:
    topic: Big data
  subject:
    topic: Decision making
    topic: Data processing
  subject:
    topic: Application software
    topic: Development
  subject:
    topic: Exploration de données (Informatique)
  subject:
    topic: Données volumineuses
  subject:
    topic: Prise de décision
    topic: Informatique
  subject:
    topic: Logiciels d'application
    topic: Développement
  subject:
    topic: Application software
    topic: Development
  subject:
    topic: Big data
  subject:
    topic: Data mining
  subject:
    topic: Decision making
    topic: Data processing
  classification: QA76.9.D343
  identifier: CL0500000997 Safari Books Online
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: UMI
    record creation date: 181011
    record change date: 20241201232914.7
    record identifier: in00005584488
    language of cataloging:
      language term: eng