Machine Learning for Social and Behavioral Research (Methodology in the Social Sciences Series)
by Kevin J. Grimm, Zhiyong Zhang, Ross Jacobucci
Machine Learning for Social and Behavioral Research provides a focused methodological resource on using machine learning in social and behavioral research. Written by Kevin J. Grimm, Zhiyong Zhang, and Ross Jacobucci, this volume is intended for readers seeking to understand machine learning within the social sciences.
About This Book
Machine Learning for Social and Behavioral Research introduces the use of machine learning within social and behavioral research.
Written by Kevin J. Grimm, Zhiyong Zhang, and Ross Jacobucci, the book presents a methodology-focused resource for researchers and students.
As part of the Methodology in the Social Sciences Series, it connects machine learning with the broader practice of social science research.
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