Tags (Rótulos): big data*

11 bookmark(s) - Ordenar por: Data ↓ / Título / Voting /

  1. -
    http://www1.folha.uol.com.br/tec/2017...voce-e-por-que-quer-saber-tanto.shtml
    Tags: , , by yzakius and 1 other (2017-11-08) | Cache | PDF | PNG | Permalink
    Voting 0
  2. The appeal of this approach to bureaucrats is fairly obvious: like Beer’s central planners, they can be effective while remaining ignorant of the causal mechanisms at play. “I am not interested in causation except as it speaks to action"
    ... »
    The aim is to replace rigid rules issued by out-of-touch politicians with fluid and personalized feedback loops generated by gadget-wielding customers. Reputation becomes the new regulation: why pass laws banning taxi-drivers from dumping sandwich wrappers on the back seat if the market can quickly punish such behavior with a one-star rating?
    ... »
    For all its utopianism and scientism, its algedonic meters and hand-drawn graphs, Project Cybersyn got some aspects of its politics right: it started with the needs of the citizens and went from there. The problem with today’s digital utopianism is that it typically starts with a PowerPoint slide in a venture capitalist’s pitch deck. As citizens in an era of Datafeed, we still haven’t figured out how to manage our way to happiness. But there’s a lot of money to be made in selling us the dials.
    http://www.newyorker.com/magazine/2014/10/13/planning-machine
    Voting 0
  3. -
    http://actantes.org.br/2016/06/30/seu...avorito-pode-estar-discriminando-voce
    Tags: , , by yzakius (2016-07-15) | Cache | Permalink
    Voting 0
  4. -
    http://projects.aljazeera.com/2014/terms-of-service/#1
    Tags: , , , by rhatto (2016-05-06) | Cache | Permalink
    Voting 0
  5. -
    https://www.nsa.gov/research/tnw/index.shtml
    Tags: , , by rhatto (2015-05-15) | Cache | Permalink
    Voting 0
  6. -
    http://blog.sense.io/introducing-sense-a-platform-for-data-science
    Tags: by rhatto (2015-03-19) | Cache | Permalink
    Voting 0
  7. -
    http://www.gdeltproject.org
    Voting 0
  8. -
    http://modelviewculture.com/pieces/ho...n-valley-learned-to-love-surveillance
    Voting 1
  9. "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
    Voting 0
  10. -
    http://www.cartamaior.com.br/templates/materiaMostrar.cfm?materia_id=22658
    Voting 0

Top of the page

First / Anterior / Próximo / Last / Página 1 de 2 fluxo de links: tagged with "big data"

Sobre - Propulsed by SemanticScuttle