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Machine Learning for Social and Behavioral Research
Engelsk
Bogcover for Machine Learning for Social and Behavioral Research af Kevin J. Grimm, Ross Jacobucci, Zhiyong Zhang, 9781462552931
Specifikationer
Sprog:
Engelsk
Sider:
416
ISBN-13:
9781462552931
Indbinding:
Hardback
Udgave:
ISBN-10:
1462552935
Udg. Dato:
4 sep 2023
Længde:
0mm
Bredde:
178mm
Højde:
254mm
Forlag:
Guilford Publications
Oplagsdato:
4 sep 2023
Hardback
Format:

Om denne bog
Today''s social and behavioral researchers increasingly need to know: "What do I do with all this data?" This book provides the skills needed to analyze and report large, complex data sets using machine learning tools, and to understand published machine learning articles. Techniques are demonstrated using actual data (Big Five Inventory, early childhood learning, and more), with a focus on the interplay of statistical algorithm, data, and theory. The identification of heterogeneity, measurement error, regularization, and decision trees are also emphasized. The book covers basic principles as well as a range of methods for analyzing univariate and multivariate data (factor analysis, structural equation models, and mixed-effects models). Analysis of text and social network data is also addressed. End-of-chapter "Computational Time and Resources" sections include discussions of key R packages; the companion website provides R programming scripts and data for the book''s examples.
 

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745,62 kr
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813 kr
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Specifikationer
Sprog:
Engelsk
Sider:
416
ISBN-13:
9781462552931
Indbinding:
Hardback
Udgave:
ISBN-10:
1462552935
Udg. Dato:
4 sep 2023
Længde:
0mm
Bredde:
178mm
Højde:
254mm
Forlag:
Guilford Publications
Oplagsdato:
4 sep 2023
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