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Machine learning for experiments in the social sciences

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning for experiments in the social sciencesJon Green, Mark H. White.
作者:	Green, Jonathan.
其他作者:	White, Mark Harmon.
出版者:	Cambridge :Cambridge University Press,2023.
面頁冊數:	72 p. :ill., digital ;23 cm.
附註:	Also issued in print: 2023.
標題:	Social sciencesStatistical methods
電子資源:	https://doi.org/10.1017/9781009168236
ISBN:	9781009168236$q(electronic bk.)

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: 9781009168236$q(electronic bk.)Subjects--Topical Terms:

224754
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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521 $a Specialized.
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