paperback. Condition: Fine.
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. 1st edition NO-PA16APR2015-KAP.
Published by Guilford Publications, US, 2023
ISBN 10: 1462552927 ISBN 13: 9781462552924
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. 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.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 408 pages. 9.75x7.00x0.75 inches. In Stock.
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Condition: New. 1st edition NO-PA16APR2015-KAP.
Published by Guilford Publications, 2023
ISBN 10: 1462552927 ISBN 13: 9781462552924
Language: English
Seller: moluna, Greven, Germany
Condition: New. Ross Jacobucci, PhD, is Assistant Professor in Quantitative Psychology in the Department of Psychology at the University of Notre Dame. His research interests include the development and application of machine learning for clinical research, with a focus.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 416 pages. 10.00x7.00x1.25 inches. In Stock.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
Published by Guilford Publications, 2023
ISBN 10: 1462552935 ISBN 13: 9781462552931
Language: English
Seller: moluna, Greven, Germany
Condition: New. Ross Jacobucci, PhD, is Assistant Professor in Quantitative Psychology in the Department of Psychology at the University of Notre Dame. His research interests include the development and application of machine learning for clinical research, with a focus.
Published by Guilford Publications, US, 2023
ISBN 10: 1462552927 ISBN 13: 9781462552924
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New. 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.