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Maja Bak
Thinking Through Data
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7266328Thinking Through Datahttps://www.gandhi.com.mx/thinking-through-data-9781503642102/phttps://gandhi.vtexassets.com/arquivos/ids/6817291/image.jpg?v=638738179270670000441465MXNStanford University PressInStock/Ebooks/<p>We encounter digital data processing on a range of platforms and in a multitude of contexts today: in the predictive algorithms of the financial sector, in drones, insurance, and risk management, in smart cities, biometrics, medicine, and more. This fascinating book explores the historical context of the current data-driven paradigm and explains how elusive yet crucial statistical concepts such as outliers, aggregates, and patterns form how we sense and make sense of data. From the sixteenth centurys embodied measurements of the foot, through the blurred facial features of <em>LHomme Moyen</em>, to the image aggregates of todays security systems, the examples collected in this book illustrate the central role of aesthetics throughout the history of statistical knowledge production. Taking its point of departure in analyses and discussions of contemporary artistic experiments by Rossella Biscotti, Stéphanie Solinas, and Adam Broomberg and Oliver Chanarin, the book broadens our understanding of the structures of knowledge and methods in statistical computation beyond optimistic narratives of calculative power. Venturing out into the tails of the distributionsto the systemically overlooked and excludedthis book challenges us to embrace an alternative view of modern data processing.</p>...6906906Thinking Through Data441465https://www.gandhi.com.mx/thinking-through-data-9781503642102/phttps://gandhi.vtexassets.com/arquivos/ids/6817291/image.jpg?v=638738179270670000InStockMXN99999DIEbook20259781503642102_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_<p>We encounter digital data processing on a range of platforms and in a multitude of contexts today: in the predictive algorithms of the financial sector, in drones, insurance, and risk management, in smart cities, biometrics, medicine, and more. This fascinating book explores the historical context of the current data-driven paradigm and explains how elusive yet crucial statistical concepts such as outliers, aggregates, and patterns form how we sense and make sense of data. From the sixteenth centurys embodied measurements of the foot, through the blurred facial features of <em>LHomme Moyen</em>, to the image aggregates of todays security systems, the examples collected in this book illustrate the central role of aesthetics throughout the history of statistical knowledge production. Taking its point of departure in analyses and discussions of contemporary artistic experiments by Rossella Biscotti, Stéphanie Solinas, and Adam Broomberg and Oliver Chanarin, the book broadens our understanding of the structures of knowledge and methods in statistical computation beyond optimistic narratives of calculative power. Venturing out into the tails of the distributionsto the systemically overlooked and excludedthis book challenges us to embrace an alternative view of modern data processing.</p>...9781503642102_Stanford University Presslibro_electonico_9781503642102_9781503642102Maja BakInglésMéxico2025-03-04T00:00:00+00:00https://getbook.kobo.com/koboid-prod-public/ingram30-epub-88fbb43a-f423-4943-ba03-22be22897b5e.epub2025-03-04T00:00:00+00:00Stanford University Press