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: Hands-on supervised machine learning with Python
  name:
    name part: Smith, Taylor G.
    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: 2018
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 streaming video file (3 hr., 6 min., 6 sec.))
  abstract: "This course will guide you through the implementation and nuances of many popular supervised machine learning algorithms while facilitating a deep understanding along the way. You'll embark on this journey with a quick course overview and see how supervised machine learning differs from unsupervised learning. Next, we'll explore parametric models such as linear and logistic regression, non-parametric methods such as decision trees, and various clustering techniques to facilitate decision-making and predictions. As we proceed, you'll work hands-on with recommender systems, which are widely used by online companies to increase user interaction and enrich shopping potential. Finally, you'll wrap up with a brief foray into neural networks and transfer learning. By the end of the video course, you'll be equipped with hands-on techniques to gain the practical know-how needed to quickly and powerfully apply these algorithms to new problems."--Resource description page
  note: Taylor G. Smith.
  note: Title from title screen (viewed April 16, 2019).
  note: Date of publication from resource description page.
  note: Presenter, Taylor G. Smith.
  subject:
    topic: Python (Computer program language)
  subject:
    topic: Machine learning
  subject:
    topic: Artificial intelligence
  subject:
    topic: Python (Langage de programmation)
  subject:
    topic: Apprentissage automatique
  subject:
    topic: Intelligence artificielle
  subject:
    topic: Artificial intelligence
  subject:
    topic: Machine learning
  subject:
    topic: Python (Computer program language)
  classification: QA76.73.P98
  identifier: CL0501000042 Safari Books Online
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: UMI
    record creation date: 190417
    record change date: 20241201230754.9
    record identifier: in00005554033
    language of cataloging:
      language term: eng