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Machine learning for experiments in the social sciences / Jon Green, Mark H. White.
- Format:
- Book
- Author/Creator:
- Green, Jonathan, 1991- author.
- White, Mark Harmon, II, author.
- Series:
- Cambridge elements. Elements in experimental political science, 2633-3368.
- Cambridge elements. Elements in experimental political science, 2633-3368
- Language:
- English
- Subjects (All):
- Social sciences--Statistical methods--Data processing.
- Social sciences.
- Machine learning.
- Physical Description:
- 1 online resource (72 pages) : illustrations (black and white, and colour), digital, PDF file(s).
- Edition:
- First edition.
- Place of Publication:
- Cambridge : Cambridge University Press, 2023.
- 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.
- Contents:
- Causal inference
- Exploratory and reproducible research
- Machine learning basics
- Bringing it together
- Prediction rule ensembles
- Causal random forest.
- Notes:
- Also issued in print: 2023.
- Includes bibliographical references.
- Description based on online resource; title from PDF title page (viewed on April 13, 2023).
- ISBN:
- 9781009197830
- 1009197835
- 9781009197847
- 1009197843
- 9781009168236
- 1009168231
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