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Machine learning for experiments in the social sciences

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning for experiments in the social sciences/ Jon Green, Mark H. White.
Author:	Green, Jonathan.
other author:	White, Mark Harmon.
Published:	Cambridge :Cambridge University Press, : 2023.,
Description:	72 p. :ill., digital ;23 cm.
Notes:	Also issued in print: 2023.
Subject:	Social sciences - Statistical methods -
Online resource:	https://doi.org/10.1017/9781009168236
ISBN:	9781009168236

Machine learning for experiments in the social sciences
Green, Jonathan.

Machine learning for experiments in the social sciences[electronic resource] /Jon Green, Mark H. White. - Cambridge :Cambridge University Press,2023. - 72 p. :ill., digital ;23 cm. - Cambridge elements. Elements in experimental political science,2633-3368. - Cambridge elements.Elements in experimental political science..

Also issued in print: 2023.

Includes bibliographical references.

Causal inference and machine learning are typically introduced in the social sciences separately as theoretically distinct methodological traditions. This volume provides theoretical and practical introductions to machine learning for social scientists interested in applying such methods to experimental data.

Specialized.

ISBN: 9781009168236Subjects--Topical Terms:

560158
Social sciences
--Statistical methods

LC Class. No.: H61.3 / .G7 2023

Dewey Class. No.: 300.2855631

Machine learning for experiments in the social sciences
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300 $a 72 p. : $b ill., digital ; $c 23 cm.
490 1 $a Cambridge elements. Elements in experimental political science, $x 2633-3368
500 $a Also issued in print: 2023.
504 $a Includes bibliographical references.
520 8 $a Causal inference and machine learning are typically introduced in the social sciences separately as theoretically distinct methodological traditions. This volume provides theoretical and practical introductions to machine learning for social scientists interested in applying such methods to experimental data.
521 $a Specialized.
588 $a Description based on online resource; title from PDF title page (viewed on April 13, 2023).
650 0 $a Social sciences $x Statistical methods $x Data processing. $3 560158
650 0 $a Machine learning. $3 533906
700 1 $a White, Mark Harmon. $3 3729418
830 0 $a Cambridge elements. $p Elements in experimental political science. $3 3729419
856 4 0 $u https://doi.org/10.1017/9781009168236