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Seller: Book Deals, Tucson, AZ, U.S.A.
Condition: Fair. Acceptable/Fair condition. Book is worn, but the pages are complete, and the text is legible. Has wear to binding and pages, may be ex-library. 1.62. Seller Inventory # 353-1462552927-acp
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Seller: Books From California, Simi Valley, CA, U.S.A.
paperback. Condition: Fine. Seller Inventory # mon0003305826
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Seller: Book Deals, Tucson, AZ, U.S.A.
Condition: Fine. Like New condition. Great condition, but not exactly fully crisp. The book may have been opened and read, but there are no defects to the book, jacket or pages. 1.62. Seller Inventory # 353-1462552927-lkn
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 45807979
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Seller: Book Deals, Tucson, AZ, U.S.A.
Condition: Very Good. Very Good condition. Shows only minor signs of wear, and very minimal markings inside (if any). 1.62. Seller Inventory # 353-1462552927-vrg
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # FT-9781462552924
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Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # FT-9781462552924
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Seller: Book Deals, Tucson, AZ, U.S.A.
Condition: New. New! This book is in the same immaculate condition as when it was published 1.62. Seller Inventory # 353-1462552927-new
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Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Paperback. Condition: 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. Seller Inventory # 9781462552924
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