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: BASKETBALL DATA SCIENCE
    sub title: with applications in R
  title info:
    title: MATHnetBASE
  name:
    name part: Zuccolotto, Paola.
    role:
      role term: creator
  name:
    name part: Manisera, Marica.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: nyu
    place:
      place term: NEW YORK
    publisher: CRC PRESS
    date issued: 2020
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether assessing the spatial performance of an MBA players shots or doing an analysis of the impact of high pressure game situations on the probability of scoring, this book discusses a variety of case studies and hands-on examples using a custom R package. The codes are supplied so readers can reproduce the analyses themselves or create their own. Assuming a basic statistical knowledge, Basketball Data Science with R is suitable for students, technicians, coaches, data analysts and applied researchers. Features: One of the first books to provide statistical and data mining methods for the growing field of analytics in basketball. Presents tools for modelling graphs and figures to visualize the data. Includes real world case studies and examples, such as estimations of scoring probability using the Golden State Warriors as a test case. Provides the source code and data so readers can do their own analyses on NBA teams and players.
  subject:
    topic: BUSINESS & ECONOMICS / Statistics
  subject:
    topic: COMPUTERS / Database Management / Data Mining
  subject:
    topic: MATHEMATICS / Recreations & Games
  subject:
    topic: Basketball
    genre: Statistics
  subject:
    topic: Basketball
    topic: Graphic methods
  classification: GV885.49.N37
  classification: 796.323630973
  identifier: 9780429894251
  identifier: 0429894252
  identifier: 9780429470615
  identifier: 0429470614
  identifier: 9780429894268
  identifier: 0429894260
  identifier: 1138600792
  identifier: 9781138600799
  identifier: 1138600814
  identifier: 9781138600812
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: OCoLC-P
    record creation date: 200116
    record change date: 20220613175711.6
    record identifier: in00004580714
    language of cataloging:
      language term: eng