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 for signal processing
    sub title: data science, algorithms, and computational statistics
  name:
    name part: Little, Max A.
    role:
      role term: creator
    role:
      role term: author
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2019
    copyright date: 2019
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xviii, 359 pages)
  abstract: Describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Builds up concepts gradually so that the ideas and algorithms can be implemented in practical software applications.
  table of contents: Mathematical foundations -- Optimization -- Random sampling -- Statistical modelling and inference -- Probabilistic graphical models -- Statistical machine learning -- Linear-Gaussian systems and signal processing -- Discrete signals : sampling, quantization and coding -- Nonlinear and non-Gaussian signal processing -- Nonparametric Bayesian machine learning and signal processing.
  note: Max A. Little.
  note: Includes bibliographical references and index.
  subject:
    topic: Machine learning
    topic: Mathematics
  subject:
    topic: Signal processing
    topic: Mathematics
  subject:
    topic: Signal processing
    topic: Digital techniques
  subject:
    topic: Apprentissage automatique
    topic: Mathématiques
  subject:
    topic: Traitement du signal
    topic: Mathématiques
  subject:
    topic: Traitement du signal
    topic: Techniques numériques
  subject:
    topic: Intelligence (AI) & Semantics
  subject:
    topic: COMPUTERS
  subject:
    topic: Physics
  subject:
    topic: SCIENCE
  subject:
    topic: Signals & Signal Processing
  subject:
    topic: TECHNOLOGY & ENGINEERING
  subject:
    topic: Machine learning
  subject:
    topic: Signal processing
    topic: Digital techniques
  classification: Q325.5 .L58 2019
  classification: 621.382/2
  related item:
    title info:
      title: Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics
    name:
      name part: Little, Max A.
    origin info:
      publisher: Oxford : Oxford University Press USA - OSO, ©2019
    identifier: (OCoLC)1126402252
  related item:
    identifier: (DLC) 2019944777
  identifier: 9780191024313
  identifier: 0191024317
  identifier: 9780191879180
  identifier: 0191879185
  identifier: 9780198714934
  identifier: 0198714939
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: EBLCP
    record creation date: 190831
    record change date: 20260319181123.1
    record identifier: in00005717490
    language of cataloging:
      language term: eng