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: Fundamentals of data science
    sub title: theory and practice
  name:
    name part: Kalita, Jugal Kumar
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Bhattacharyya, Dhruba K.
    role:
      role term: author.
  name:
    name part: Roy, Swarup
    name part: (Computer scientist)
    role:
      role term: author.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2024
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: Fundamentals of Data Science: Theory and Practice presents basic and advanced concepts in data science along with real-life applications. The book provides students, researchers and professionals at different levels a good understanding of the concepts of data science, machine learning, data mining and analytics. Users will find the authors' research experiences and achievements in data science applications, along with in-depth discussions on topics that are essential for data science projects, including pre-processing, that is carried out before applying predictive and descriptive data analysis tasks and proximity measures for numeric, categorical and mixed-type data.The book's authors include a systematic presentation of many predictive and descriptive learning algorithms, including recent developments that have successfully handled large datasets with high accuracy. In addition, a number of descriptive learning tasks are included.
  table of contents: 1 Introduction -- 2 Data, sources, and generation -- 3 Data preparation -- 4 Machine learning -- 5 Regression -- 6 Classification -- 7 Artificial neural networks -- 8 Feature Selection -- 9 Cluster analysis -- 10 Ensemble learning -- 11 Association-rule mining -- Big data analysis -- 13 Data science in practice -- 14 Conclusion
  note: Jugal K. Kalita, Dhruba K. Bhattacharyya, Swarup Roy.
  note: Includes bibliographical references and index.
  subject:
    topic: Big data
  subject:
    topic: Data mining
  subject:
    topic: Electronic data processing
  subject:
    topic: Information science
  subject:
    topic: Données volumineuses
  subject:
    topic: Exploration de données (Informatique)
  subject:
    topic: Sciences de l'information
  subject:
    topic: information science
  classification: QA76.9.B45 K35 2024
  classification: 005.7
  identifier: 0323972632
  identifier: 9780323972635
  identifier: 9780323917780
  identifier: 9780323972635 O'Reilly Media
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 231123
    record change date: 20260327175121.1
    record identifier: in00005772391
    language of cataloging:
      language term: eng