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: Scalable Machine Learning
  name:
    name part: Braun, Mikio
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Safari, an O'Reilly Media Company
  type of resource: moving image
  genre: videorecording
  genre: Electronic videos.
  origin info:
    place:
      place term: xx
    date issued: 2015
    edition: 1st edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file, approximately 3 hr., 8 min.)
  abstract: Machine-learning expert Mikio Braun moves budding data scientists into the world of big data with this overview of how to do complex data analysis at scale. You'll learn the general concepts behind machine learning, compare small scale and large scale data analysis algorithms, and review the basics of the architectures used in large-scale distributed processing. You'll then explore the use of Spark programming for data flow systems,and the many uses of approximation. Braun also outlines evaluation, feature extraction, and model-selection computing costs in big data analysis. The video closes with a discussion of the relationship between the amount of available data and the complexity of the learning problem. Review machine learning concepts such as fitting a model to data Learn core concepts behind large scale algorithms like stochastic gradient descent Review the architectures used in Hadoop-based systems and data flow systems Explore resilient distributed dataset structures, vectors, and matrices using Spark Review Sparks's machine libraries and how to run basic machine learning tasks Understand the use of approximation in optimization and compressing feature spaces Learn what makes data "complex" Mikio Braun is a data scientist researcher, a start-up entrepreneur, and the on-going creator of jblas, the open source library for fast linear algebra in Java. He has a Ph.D. in Computer Science, and works at Zalando.
  note: Braun, Mikio.
  note: Videorecording.
  note: Electronic reproduction. Boston, MA : Safari, Available via World Wide Web.
  note: Mode of access: World Wide Web.
  identifier: 9781491939437
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record creation date: 101215
    record change date: 20260129231748.5
    record identifier: in00004258856