Da: Books From California, Simi Valley, CA, U.S.A.
EUR 43,34
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Aggiungi al carrellopaperback. Condizione: Fine.
EUR 65,76
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EUR 68,12
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 60,89
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Da: Majestic Books, Hounslow, Regno Unito
EUR 72,83
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 69,27
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 69,36
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Da: Books Puddle, New York, NY, U.S.A.
EUR 84,01
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Aggiungi al carrelloCondizione: New. 1st edition NO-PA16APR2015-KAP.
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 93,75
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Aggiungi al carrelloPaperback. Condizione: 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.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 85,04
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EUR 96,58
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EUR 101,63
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EUR 81,33
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Aggiungi al carrelloPaperback. Condizione: Brand New. 408 pages. 9.75x7.00x0.75 inches. In Stock.
Da: Majestic Books, Hounslow, Regno Unito
EUR 106,22
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 101,86
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 101,87
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Da: Books Puddle, New York, NY, U.S.A.
EUR 120,54
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EUR 74,92
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Aggiungi al carrelloCondizione: 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.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 126,19
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EUR 120,45
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Aggiungi al carrelloHardcover. Condizione: Brand New. 416 pages. 10.00x7.00x1.25 inches. In Stock.
EUR 100,80
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Aggiungi al carrelloCondizione: 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.
EUR 87,28
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.