Tags (Rótulos): estatística*

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    https://brasil.elpais.com/brasil/2019/04/04/politica/1554400675_265970.html
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    https://blogdacidadania.com.br/2019/0...is-militares-em-sp-cresce-46-em-marco
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    https://ponte.org/numero-de-mulheres-...-ano-revela-pesquisa-do-governo-de-sp
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    http://novo.fpabramo.org.br/content/a...il-n%C3%A3o-conhece-o-brasil%E2%80%9D
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    https://www.cartacapital.com.br/socie...-disputa-narrativa-201cdos-pobres201d
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    https://revistacult.uol.com.br/home/a-periferia-nao-binaria
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    http://www.huffpostbrasil.com/2017/04..._22043337/?ncid=fcbklnkbrhpmg00000004
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  8. "Garcia says this kind of statistical analysis—essentially using machine learning to study the known tastes and relationships of one person’s contacts, and making a guess about who they are likely to be—could be used to build disturbingly detailed profiles of people who do not even use the social network. Although the Friendster data dates to the last decade, Garcia believes that Facebook could make the same type of predictions with its data—and probably do this better because it has so many more users than Friendster ever did.

    We learned about shadow profiles last year when security researchers at a company called Packetstorm discovered Facebook was maintaining its own files on users’ contacts. For example, if Facebook found two users were connected to a non-member—say, bob@wired.com—it would pool other information—different phone numbers, for example—into one master dossier."
    http://www.wired.com/2014/10/privacy-friendster
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    https://blog.torproject.org/blog/how-to-handle-millions-new-tor-clients
    Tags: , , by rhatto (2013-09-05) | Cache | Permalink
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    http://www.sks-keyservers.net/status/key_development.php
    Tags: , , by rhatto (2013-09-05) | Cache | Permalink
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