Machine learning for experiments in the social sciences:
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 experime...
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| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge, United Kingdom ; New York, NY, USA ; Port Melbourne, Australia ; New Delhi, India ; Singapore
Cambridge University Press
2023
|
| Series: | Cambridge elements Elements in experimental political science
|
| Subjects: | |
| Online Access: | DE-12 DE-473 DE-706 Volltext |
| Summary: | 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 |
| Item Description: | Literaturverzeichnis: Seite 65-72 Zusatzmaterial verfügbar unter: https://osf.io/paxhs/ |
| Physical Description: | 1 Online-Ressource (72 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781009168236 |
| DOI: | 10.1017/9781009168236 |
Staff View
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| discipline | Soziologie |
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| doi_str_mv | 10.1017/9781009168236 |
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| isbn | 9781009168236 |
| language | English |
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| spelling | Green, Jon 1991- Verfasser (DE-588)1298302021 aut Machine learning for experiments in the social sciences Jon Green, Mark H. White Cambridge, United Kingdom ; New York, NY, USA ; Port Melbourne, Australia ; New Delhi, India ; Singapore Cambridge University Press 2023 1 Online-Ressource (72 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Cambridge elements Elements in experimental political science Literaturverzeichnis: Seite 65-72 Zusatzmaterial verfügbar unter: https://osf.io/paxhs/ 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 Social sciences / Statistical methods / Data processing Machine learning Experiment (DE-588)4015999-1 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 s Maschinelles Lernen (DE-588)4193754-5 s Experiment (DE-588)4015999-1 s DE-604 White, Mark H. II (DE-588)1321866550 aut Erscheint auch als Druck-Ausgabe, Paperback 978-1-009-16822-9 https://doi.org/10.1017/9781009168236 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Green, Jon 1991- White, Mark H. II Machine learning for experiments in the social sciences Social sciences / Statistical methods / Data processing Machine learning Experiment (DE-588)4015999-1 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4015999-1 (DE-588)4055916-6 (DE-588)4193754-5 |
| title | Machine learning for experiments in the social sciences |
| title_auth | Machine learning for experiments in the social sciences |
| title_exact_search | Machine learning for experiments in the social sciences |
| title_exact_search_txtP | Machine learning for experiments in the social sciences |
| title_full | Machine learning for experiments in the social sciences Jon Green, Mark H. White |
| title_fullStr | Machine learning for experiments in the social sciences Jon Green, Mark H. White |
| title_full_unstemmed | Machine learning for experiments in the social sciences Jon Green, Mark H. White |
| title_short | Machine learning for experiments in the social sciences |
| title_sort | machine learning for experiments in the social sciences |
| topic | Social sciences / Statistical methods / Data processing Machine learning Experiment (DE-588)4015999-1 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Social sciences / Statistical methods / Data processing Machine learning Experiment Sozialwissenschaften Maschinelles Lernen |
| url | https://doi.org/10.1017/9781009168236 |
| work_keys_str_mv | AT greenjon machinelearningforexperimentsinthesocialsciences AT whitemarkh machinelearningforexperimentsinthesocialsciences |