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  1. big data (7)
  2. brain (1)
  3. connectome (1)
  4. data obesity (1)
  5. data science (3)
  6. dochugo (1)
  7. Facebook (1)
  8. fashion (1)
  9. Foursquare (2)
  10. google (1)
  11. holism (1)
  12. hugo liu (1)
  13. hunch (1)
  14. kaggle (1)
  15. location (1)
  16. outsourcing (1)
  17. recommendation engine (1)
  18. storytelling (1)

  1. “With great data comes great responsibility.”

    www.socialistic.com
    baetsie

  2. “Varian looks trim enough, dressed in a blue shirt and plain khaki trousers, with brown shoes and a navy sleeveless sweater – the uniform of a mind with more important things to think about than fashion.”

    thinkquarterly.co.uk
    baetsie

  3. “And because the brain’s wiring is so densely packed, building a connectome stands as one of the most formidable data collection efforts ever concocted. About one petabyte of computer memory will be needed to store the images needed to form a picture of a one-millimeter cube of mouse brain, the scientists say. By comparison, it takes Facebook about one petabyte of data storage space to hold 40 billion photos.”

    www.nytimes.com
    baetsie

  4. “It's likely that Foursquare is looking for someone to turn its massive datasets culled from all those check-ins into something useful and, of course, monetizable.”

    www.readwriteweb.com
    GEOpdx

  5. “Foursquare has an open position for a data scientist. Specifically, the company is looking for someone with "experience with prediction or recommender systems, search and ranking algorithms, and classification algorithms." In September, Foursquare co-founder Dennis Crowley told the audience at Picnic that the company is building a recommendation engine. About Foursquare thinks this may hint at things to come from Foursquare.”

    www.readwriteweb.com
    GEOpdx

  6. “First, it is almost never the case that any single organization has access to the advanced machine learning and statistical techniques that would allow them to extract maximum value from their data. Meanwhile, data scientists crave real-world data to develop and refine their techniques. Kaggle corrects this mismatch by offering companies a cost effective way to harness the ‘cognitive surplus’ of the world's best data scientists.”

    kaggle.com
    baetsie

  7. “The question facing every company today, every startup, every non-profit, every project site that wants to attract a community, is how to use data effectively -- not just their own data, but all the data that's available and relevant. Using data effectively requires something different from traditional statistics, where actuaries in business suits perform arcane but fairly well-defined kinds of analysis. What differentiates data science from statistics is that data science is a holistic approach. We're increasingly finding data in the wild, and data scientists are involved with gathering data, massaging it into a tractable form, making it tell its story, and presenting that story to others.”

    radar.oreilly.com
    baetsie