Machine learning for social and behavioral research:
"Over the past 20 years, there has been an incredible change in the size, structure, and types of data collected in the social and behavioral sciences. Thus, social and behavioral researchers have increasingly been asking the question: "What do I do with all of this data?" The goal of...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York ; London
The Guilford Press
[2023]
|
| Series: | Methodology in the social sciences
|
| Subjects: | |
| Links: | http://www.gbv.de/dms/bowker/toc/9781462552924.pdf |
| Summary: | "Over the past 20 years, there has been an incredible change in the size, structure, and types of data collected in the social and behavioral sciences. Thus, social and behavioral researchers have increasingly been asking the question: "What do I do with all of this data?" The goal of this book is to help answer that question. It is our viewpoint that in social and behavioral research, to answer the question "What do I do with all of this data?", one needs to know the latest advances in the algorithms and think deeply about the interplay of statistical algorithms, data, and theory. An important distinction between this book and most other books in the area of machine learning is our focus on theory"-- |
| Item Description: | Includes bibliographical references and index |
| Physical Description: | xvi, 416 Seiten Illustrationen, Diagramme |
| ISBN: | 9781462552924 9781462552931 |
Staff View
MARC
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| id | DE-604.BV049431475 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T20:11:51Z |
| institution | BVB |
| isbn | 9781462552924 9781462552931 |
| language | English |
| lccn | 2023005151 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034777582 |
| oclc_num | 1391011819 |
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| owner | DE-N32 DE-188 |
| owner_facet | DE-N32 DE-188 |
| physical | xvi, 416 Seiten Illustrationen, Diagramme |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | The Guilford Press |
| record_format | marc |
| series2 | Methodology in the social sciences |
| spelling | Jacobucci, Ross Verfasser aut Machine learning for social and behavioral research Ross Jacobucci, Kevin J. Grimm, Zhiyong Zhang New York ; London The Guilford Press [2023] ©2023 xvi, 416 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Methodology in the social sciences Includes bibliographical references and index "Over the past 20 years, there has been an incredible change in the size, structure, and types of data collected in the social and behavioral sciences. Thus, social and behavioral researchers have increasingly been asking the question: "What do I do with all of this data?" The goal of this book is to help answer that question. It is our viewpoint that in social and behavioral research, to answer the question "What do I do with all of this data?", one needs to know the latest advances in the algorithms and think deeply about the interplay of statistical algorithms, data, and theory. An important distinction between this book and most other books in the area of machine learning is our focus on theory"-- Social sciences Research DLC Machine learning Empirische Sozialforschung (DE-588)4014606-6 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 s Empirische Sozialforschung (DE-588)4014606-6 s DE-604 Grimm, Kevin J. Verfasser (DE-588)1153860147 aut Zhang, Zhiyong Verfasser (DE-588)1305664868 aut Erscheint auch als Online-Ausgabe Jacobucci, Ross Machine learning for social and behavioral research New York, NY : The Guilford Press, 2023 1 Online-Ressource (xvi, 408 pages) 9781462552955 1462552951 http://www.gbv.de/dms/bowker/toc/9781462552924.pdf 2023-08-28 Aggregator Inhaltsverzeichnis |
| spellingShingle | Jacobucci, Ross Grimm, Kevin J. Zhang, Zhiyong Machine learning for social and behavioral research Social sciences Research DLC Machine learning Empirische Sozialforschung (DE-588)4014606-6 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4014606-6 (DE-588)4193754-5 |
| title | Machine learning for social and behavioral research |
| title_auth | Machine learning for social and behavioral research |
| title_exact_search | Machine learning for social and behavioral research |
| title_full | Machine learning for social and behavioral research Ross Jacobucci, Kevin J. Grimm, Zhiyong Zhang |
| title_fullStr | Machine learning for social and behavioral research Ross Jacobucci, Kevin J. Grimm, Zhiyong Zhang |
| title_full_unstemmed | Machine learning for social and behavioral research Ross Jacobucci, Kevin J. Grimm, Zhiyong Zhang |
| title_short | Machine learning for social and behavioral research |
| title_sort | machine learning for social and behavioral research |
| topic | Social sciences Research DLC Machine learning Empirische Sozialforschung (DE-588)4014606-6 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Social sciences Research Machine learning Empirische Sozialforschung Maschinelles Lernen |
| url | http://www.gbv.de/dms/bowker/toc/9781462552924.pdf |
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