ISBN: 9781462552931 - machine learning for social and behavioral research (16 risultati)

Lingua: Inglese
Editore: The Guilford Press, 2023
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Lingua: Inglese
Editore: Guilford Publications, 2023
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Lingua: Inglese
Editore: Guilford Publications, 2023
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Lingua: Inglese
Editore: The Guilford Press, 2023
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Lingua: Inglese
Editore: The Guilford Press, 2023
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Lingua: Inglese
Editore: The Guilford Press, 2023
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Lingua: Inglese
Editore: The Guilford Press, 2023
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Lingua: Inglese
Editore: The Guilford Press, 2023
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Da: Books Puddle, Woodside, NY, U.S.A.Books Puddle
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EUR 136,61
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Condizione: New. 1st edition NO-PA16APR2015-KAP.

Lingua: Inglese
Editore: Guilford Publications, New York, 2023
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 148,06
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Hardcover. Condizione: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Lingua: Inglese
Editore: The Guilford Press, 2023
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 134,20
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Condizione: New.

Lingua: Inglese
Editore: Guilford Pubn, 2023
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 132,66
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Hardcover. Condizione: Brand New. 416 pages. 10.00x7.00x1.25 inches. In Stock.

Lingua: Inglese
Editore: Guilford Publications, 2023
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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EUR 130,88
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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Machine Learning for Social and Behavioral Research
Ross Jacobucci|Kevin J. Grimm (Arizona State University, United States)|Zhiyong Zhang
Lingua: Inglese
Editore: Guilford Publications, 2023
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Da: moluna, Greven, Germaniamoluna
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EUR 107,61
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Condizione: 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.

Lingua: Inglese
Editore: Guilford Publications Jul 2023, 2023
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 144,83
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Buch. Condizione: Neu. Neuware - 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.…

Lingua: Inglese
Editore: Guilford Publications, New York, 2023
- Rilegato
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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EUR 145,19
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Hardcover. Condizione: new. Hardcover. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Lingua: Inglese
Editore: Guilford Publications, New York, 2023
- Rilegato
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 185,66
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Hardcover. Condizione: new. Hardcover. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…