9789819564644 - machine learning in social science: applications and advances di chen, yunsong; chen, zhuo; ma, wen; ju, guodong (13 risultati)
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Machine Learning in Social Science: Applications and Advances
Chen, Yunsong (Author)/ Chen, Zhuo (Author)/ Ma, Wen (Author)/ Ju, Guodong (Author)
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 87,77
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Hardcover. Condizione: Brand New. 387 pages. 5.83x0.88x8.27 inches. In Stock.
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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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EUR 95,78
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Condizione: New. 2026. hardcover. . . . . . Books ship from the US and Ireland.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 59,97
EUR 63,06 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book explores how machine learning can enhance both quantitative and qualitative research in sociology. By developing algorithms tailored to specific data, machine learning enables social scientists to uncover patterns, generate new theo…ries, calibrate indicators, and strengthen causal inference. The book offers an accessible introduction to the principles and applications of supervised and unsupervised learning (Part I), followed by empirical case studies across key areas of sociological research. In the social prediction section (Parts II IV), it illustrates how supervised learning can 1) impute missing indicators, 2) derive theories directly from data, and 3) improve causal inference through counterfactual construction. In the culture modeling section (Parts V VI), it shows how unsupervised machine learning can map the structure of large-scale cultural texts such as online novels and film databases making complex cultural patterns visible across time and space.
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 72,39
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Hardcover. Condizione: new. Hardcover. This open access book explores how machine learning can enhance both quantitative and qualitative research in sociology. By developing algorithms tailored to specific data, machine learning enables social scientists to uncover patterns, generate new theories, calibrate indicators, and stren…gthen causal inference. The book offers an accessible introduction to the principles and applications of supervised and unsupervised learning (Part I), followed by empirical case studies across key areas of sociological research. In the social prediction section (Parts IIIV), it illustrates how supervised learning can 1) impute missing indicators, 2) derive theories directly from data, and 3) improve causal inference through counterfactual construction. In the culture modeling section (Parts VVI), it shows how unsupervised machine learning can map the structure of large-scale cultural textssuch as online novels and film databasesmaking complex cultural patterns visible across time and space. In the culture modeling section (Parts VVI), it shows how unsupervised machine learning can map the structure of large-scale cultural textssuch as online novels and film databasesmaking complex cultural patterns visible across time and space. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 53,49
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access book explores how machine learning can enhance both quantitative and qualitative research in sociology. By developing algorithms tailored to specific data, machine learning enables social scientists to uncover patterns, g…enerate new theories, calibrate indicators, and strengthen causal inference. The book offers an accessible introduction to the principles and applications of supervised and unsupervised learning (Part I), followed by empirical case studies across key areas of sociological research. In the social prediction section (Parts II IV), it illustrates how supervised learning can 1) impute missing indicators, 2) derive theories directly from data, and 3) improve causal inference through counterfactual construction. In the culture modeling section (Parts V VI), it shows how unsupervised machine learning can map the structure of large-scale cultural texts such as online novels and film databases making complex cultural patterns visible across time and space. 363 pp. Englisch.
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 91,11
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Condizione: New. Print on Demand.
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Da: moluna, Greven, Germaniamoluna
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EUR 48,74
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 91,92
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Condizione: New. PRINT ON DEMAND.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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EUR 66,83
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Hardcover. Condizione: new. Hardcover. This open access book explores how machine learning can enhance both quantitative and qualitative research in sociology. By developing algorithms tailored to specific data, machine learning enables social scientists to uncover patterns, generate new theories, calibrate indicators, and stren…gthen causal inference. The book offers an accessible introduction to the principles and applications of supervised and unsupervised learning (Part I), followed by empirical case studies across key areas of sociological research. In the social prediction section (Parts IIIV), it illustrates how supervised learning can 1) impute missing indicators, 2) derive theories directly from data, and 3) improve causal inference through counterfactual construction. In the culture modeling section (Parts VVI), it shows how unsupervised machine learning can map the structure of large-scale cultural textssuch as online novels and film databasesmaking complex cultural patterns visible across time and space. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 53,49
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This open access book explores how machine learning can enhance both quantitative and qualitative research in sociology. By developing algorithms tailored to specific data, machine learning enables social scientists to uncover patterns, gener…ate new theories, calibrate indicators, and strengthen causal inference. The book offers an accessible introduction to the principles and applications of supervised and unsupervised learning (Part I), followed by empirical case studies across key areas of sociological research. In the social prediction section (Parts IIIV), it illustrates how supervised learning can 1) impute missing indicators, 2) derive theories directly from data, and 3) improve causal inference through counterfactual construction. In the culture modeling section (Parts VVI), it shows how unsupervised machine learning can map the structure of large-scale cultural textssuch as online novels and film databasesmaking complex cultural patterns visible across time and space.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 388 pp. Englisch.
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Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 85,89
EUR 31,96 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. This open access book explores how machine learning can enhance both quantitative and qualitative research in sociology. By developing algorithms tailored to specific data, machine learning enables social scientists to uncover patterns, generate new theories, calibrate indicators, and stren…gthen causal inference. The book offers an accessible introduction to the principles and applications of supervised and unsupervised learning (Part I), followed by empirical case studies across key areas of sociological research. In the social prediction section (Parts IIIV), it illustrates how supervised learning can 1) impute missing indicators, 2) derive theories directly from data, and 3) improve causal inference through counterfactual construction. In the culture modeling section (Parts VVI), it shows how unsupervised machine learning can map the structure of large-scale cultural textssuch as online novels and film databasesmaking complex cultural patterns visible across time and space. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
