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359 results for "data science"
Data as Capta By Johanna Drucker
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As humanists adopt the methods of empirical sciences to produce visualizations in digital data mining, the question of whether the foundations of humanistic interpretation are served by such... More > approaches arises. This project poses a critique of the concept of data, suggests an alternative concept, capta, and then explores some systematic means of creating visualizations rooted in humanistic approaches.< Less
Open Notebook Science Melting Point Data By Andrew Lang et al.
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A collection of highly curated double+ validated Open Data melting points for common organic compounds
Open Notebook Science Melting Point Data By Andrew Lang et al.
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A collection of highly curated double+ validated Open Data melting points for common organic compounds
Doomsday: December 21, 2012 By Data Knowles
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December 21, 2012 is quickly approaching! Jan and David uncover some terrible events that are happening. What will they do?
a deviant's guide to the uncategorical By Uncle Data
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science experiments, performance art, and newsworthy items, recycled into political propaganda: to eliminate waste worldwide
DATART 02 data as art By claude paquet
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When data become art. Photomontage and design made with scientific data and diagrams. Quand les données deviennent art. Photomontage et design de données scientifiques et diagrames.
DATART 04 data as art By claude paquet
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When data become art. Photomontage and design made with business, economy and scientific data.
DATART 05 data as art By claude paquet
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When data become art. Photomontage and design made with business, economy and scientific data.
DATART 01 Data as art By claude paquet
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When data become art. Photomontage and design made with scientific data and diagrams. Quand les données deviennent art. Photomontage et design de données scientifiques et diagrames.
Quantitative Methods for Data Science: I - Introductory Applied Mathematics By James Godfrey
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This reference book is intended for data scientists and presents introductory applied mathematics appropriate for understanding methodologies used in a variety of disciplines: statistics, engineering... More > and the natural sciences, advanced computing, economics and finance, social media, advertising, climate analysis, healthcare and genetics, and other data-intensive areas. The presentation includes vector and matrix algebra, differential and integral calculus, complex variables, vector calculus, transforms, and ordinary and partial differential equations. The primary objective is to develop tools and techniques for understanding more advanced quantitative methods. The reader is provided an approach that is implementation-driven rather than theoretically-driven. The material is appropriate for college-level applied mathematics courses with an emphasis on data science.< Less