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Data Science and Social Research: Epistemology, Methods, Technology and Applications

Edited by N. Carlo Lauro, Edited by Enrica Amaturo, Edited by Maria Gabriella Grassia, Edited by Biagio Aragona, Edited by Marina Marino

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Price: R 7 049.95

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This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis. Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources. This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices.

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The Coming Wave: AI, Power and Our Future

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Paperback / softback
352 pages
was: R 295.95
now: R 265.95
Stock is usually dispatched in 6-12 days from date of order

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Helgoland: The Strange and Beautiful Story of Quantum Physics

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Paperback / softback
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The Order of Time

Carlo Rovelli
Paperback / softback
224 pages
was: R 295.95
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Originally published in Italian: L'ordine del tempo (Milan: Adelphi Edizioni, 2017).

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