Librería: Books From California, Simi Valley, CA, Estados Unidos de America
EUR 47,32
Cantidad disponible: Más de 20 disponibles
Añadir al carritopaperback. Condición: Fine.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 70,19
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 71,50
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Guilford Publications, New York, 2023
ISBN 10: 1462552927 ISBN 13: 9781462552924
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 73,80
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. 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.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 72,21
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 65,01
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 71,24
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 87,70
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
Librería: Russell Books, Victoria, BC, Canada
Original o primera edición
EUR 78,36
Cantidad disponible: 1 disponibles
Añadir al carritopaperback. Condición: New. 1st Edition. Special order direct from the distributor.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 86,18
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 83,82
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. 408 pages. 9.75x7.00x0.75 inches. In Stock.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
EUR 86,26
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: New. 2023. 1st Edition. Paperback. . . . . .
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 81,97
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 107,05
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 101,72
Cantidad disponible: 1 disponibles
Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 96,46
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. 408 pages. 9.75x7.00x0.75 inches. In Stock.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 110,87
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Guilford Publications, New York, 2023
ISBN 10: 1462552927 ISBN 13: 9781462552924
Librería: CitiRetail, Stevenage, Reino Unido
EUR 70,86
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. 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.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 108,23
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 106,98
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: New. 2023. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
Idioma: Inglés
Publicado por Guilford Publications, New York, 2023
ISBN 10: 1462552927 ISBN 13: 9781462552924
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 85,65
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. 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.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 101,71
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
Librería: moluna, Greven, Alemania
EUR 72,29
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 106,88
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 127,91
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
Idioma: Inglés
Publicado por Guilford Publications, New York, 2023
ISBN 10: 1462552935 ISBN 13: 9781462552931
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 134,55
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 126,80
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: Brand New. 416 pages. 10.00x7.00x1.25 inches. In Stock.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 131,28
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 125,31
Cantidad disponible: 1 disponibles
Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: moluna, Greven, Alemania
EUR 104,80
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: 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.