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The book received widespread praise for elucidating the consequences of reliance on big data models for structuring socioeconomic resources. Clay Shirky from The New York Times Book Review said "O'Neil does a masterly job explaining the pervasiveness and risks of the algorithms that regulate our lives," while pointing out that "the section on solutions is weaker than the illustration of the ...
Big data "size" is a constantly moving target; as of 2012 ranging from a few dozen terabytes to many zettabytes of data. [26] Big data requires a set of techniques and technologies with new forms of integration to reveal insights from data-sets that are diverse, complex, and of a massive scale. [27]
BIN – binary data, often memory dumps of executable code or data to be re-used by the same software that originated it; DAT – data file, usually binary data proprietary to the program that created it, or an MPEG-1 stream of Video CD; DSK – file representations of various disk storage images; RAW – raw (unprocessed) data
Still, writes Saini, for all the data that Criado Perez presents, "What should worry us more than the data gap, then, is that huge and seemingly intractable don't-give-a-damn gap." [ 5 ] In an article for Literary Review magazine titled 'Female Unfriendly', feminist author Joan Smith , lauds the book as essential reading, at least for those to ...
To Tufte, good data visualizations represent every data point accurately and enable a viewer to see trends and patterns in the data. Tufte's contribution to the field of data visualization and infographics is considered immense, and his design principles can be seen in many websites, magazines, and newspapers today.
Black Data Processing Associates (BDPA) is an American non-profit organization that serves the professional well-being of African Americans and other minorities working within technology. [1] BDPA provides resources that support the professional growth and technical development of minority individuals in the information technology industry.
The NSA and GCHQ have traded recipes for various purposes such as grabbing location data and journey plans that are made when a target uses Google Maps, and vacuuming up address books, buddy lists, phone logs and geographic data embedded in photos posted on the mobile versions of numerous social networks such as Facebook, Flickr, LinkedIn ...
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