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Elements of causal inference : foundations and learning algorithms / Jonas Peters, Dominik Janzing, and Bernhard Schölkopf.

By: Contributor(s): Material type: TextTextLanguage: Spanish Series: Adaptive computation and machine learning seriesPublisher: Cambridge, Massachuestts : The MIT Press, [2017]Description: xiv, 265 pages ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780262037310 (hardcover : alk. paper)
Subject(s): DDC classification:
  • 006.3/1 23
LOC classification:
  • Q 325.5  P482e 2017
Summary: A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.
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Holdings
Item type Current library Home library Collection Shelving location Call number Copy number Status Date due Barcode
Libro Libro Biblioteca Juan Bosch Biblioteca Juan Bosch Humanidades Humanidades (4to. Piso) Q 325.5 P482e 2017 (Browse shelf(Opens below)) 1 Available 00000128048

Includes bibliographical references (pages 235-262) and index.

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.

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