Articles liés à Handbook of Computational Social Science, Volume 2
Synopsis
The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.
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À propos de l?auteur
Uwe Engel is Professor at the University of Bremen, Germany, where he held a chair in sociology from 2000 to 2020. From 2008 to 2013, Dr. Engel coordinated the Priority Programme on "Survey Methodology" of the German Research Foundation. His current research focuses on data science, human-robot interaction, and opinion dynamics.
Anabel Quan-Haase is Professor of Sociology and Information and Media Studies at Western University and Director of the SocioDigital Media Lab, London, Canada. Her research interests include social media, social networks, life course, social capital, computational social science, and digital inequality/inclusion.
Sunny Xun Liu is a research scientist at Stanford Social Media Lab, USA. Her research focuses on the social and psychological effects of social media and AI, social media and well-being, and how the design of social robots impact psychological perceptions.
Lars Lyberg was Head of the Research and Development Department at Statistics Sweden and Professor at Stockholm University. He was an elected member of the International Statistical Institute. In 2018, he received the AAPOR Award for Exceptionally Distinguished Achievement.
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Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods
Edité par
Taylor & Francis Ltd, 2021
ISBN 10 : 1032077700
ISBN 13 : 9781032077703
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Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods
Edité par
Taylor & Francis Ltd, 2021
ISBN 10 : 1032077700
ISBN 13 : 9781032077703
Neuf
Paperback / softback
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Handbook of Computational Social Science, Volume 2
Edité par
Taylor & Francis, 2021
ISBN 10 : 1032077700
ISBN 13 : 9781032077703
Neuf
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Handbook of Computational Social Science, Volume 2
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions.With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors. 436 pp. Englisch. N° de réf. du vendeur 9781032077703
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Handbook of Computational Social Science, Volume 2 (European Association of Methodology Series)
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Handbook of Computational Social Science: Data Science, Statistical Modelling, and Machine Learning Methods: Vol 2
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Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods (European Association of Methodology Series) 1st Edition
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Handbook of Computational Social Science : Data Science, Statistical Modelling, and Machine Learning Methods
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Handbook of Computational Social Science, Volume 2 : Data Science, Statistical Modelling, and Machine Learning Methods
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions.With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors. N° de réf. du vendeur 9781032077703
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Handbook of Computational Social Science, Volume 2
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