東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

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 sciences/ Jon 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 sciences - Statistical methods -
電子資源:	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
LDR:01382nmm a2200301 a 4500 001 2378219
003 UkCbUP
005 20230413170830.0
006 m d
007 cr nn 008maaau
008 250304s2023 enka fob 000 0 eng d
020 $a 9781009168236 $q (electronic bk.)
020 $a 9781009168229 $q (paperback)
035 $a CR9781009168236
040 $a StDuBDS $b eng $c StDuBDS $d GP
041 0 $a eng
050 4 $a H61.3 $b .G7 2023
082 0 4 $a 300.2855631 $2 23
090 $a H61.3 $b .G796 2023
100 1 $a Green, Jonathan. $3 1993649
245 1 0 $a Machine learning for experiments in the social sciences $h [electronic resource] / $c Jon Green, Mark H. White.
260 $a Cambridge : $b Cambridge University Press, $c 2023.
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