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Machine learning for social and behavioral researchJacobucci, Ross ; Grimm, Kevin J. ; Zhang, ZhiyongOver 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 n theory.Vrsta gradiva - knjiga ; neleposlovje za odrasleZaložništvo in izdelava - New York ; London : The Guilford Press, cop. 2023Jezik - angleškiISBN - 978-1-4625-5292-4; 978-1-4625-5293-1COBISS.SI-ID - 176789763
Avtor
Jacobucci, Ross |
Grimm, Kevin J. |
Zhang, Zhiyong
Teme
Social sciences |
Research |
strojno učenje |
linearna regresija |
logistična regresija |
merjenje |
strukturno modeliranje |
strukturno modeliranje |
machine learning |
linear regression |
logistic regression |
measurement |
structural equation modeling |
mixture modeling |
social network analysis |
social network analysis
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Knjižnica/institucija |
Kraj | Akronim | Za izposojo | Druga zaloga |
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FF, Osrednja humanistična knjižnica, Ljubljana | Ljubljana | FFLJ |
pogojno za izposojo – na dom 1 izv.
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Jacobucci, Ross | ![]() |
Grimm, Kevin J. | ![]() |
Zhang, Zhiyong | ![]() |
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