國立虎尾科技大學 |

登入

回首頁

Machine learning for experiments in the social sciences

紀錄類型:	書目-語言資料,印刷品 : 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:	Machine learning. -
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:

561253
Machine learning.

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

Dewey Class. No.: 300.2855631

Machine learning for experiments in the social sciences
LDR:01382nam a2200301 a 4500 001 1138721
003 UkCbUP
005 20230413170830.0
006 m d
007 cr nn 008maaau
008 250210s2023 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 954156
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 Machine learning. $3 561253
650 0 $a Social sciences $x Statistical methods $x Data processing. $3 556203
700 1 $a White, Mark Harmon. $3 1462594
830 0 $a Cambridge elements. $p Elements in experimental political science. $3 1462595
856 4 0 $u https://doi.org/10.1017/9781009168236

筆 0 讀者評論

多媒體

評論

新增評論分享你的心得

Export

取書館別