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causata

  1. Causata is looking for London-based core Java experts: http://bit.ly/4M1wO4
  2. RT @flowingdata Reading Florence Nightingale: The passionate statistician http://bit.ly/8PEHHV
  3. We don't use Hadoop, but the sort of thinking displayed in this talk is the way to the future: http://bit.ly/3Fu9zJ
  4. This is pretty hardcore development-speak, but the maps are very nice looking: http://bit.ly/3TILm6
  5. It appears that I can invite up to eight people to use Google Wave. If you are interested please contact me with your email address.
  6. Fun with graphics: "Minard goes mainstream": http://bit.ly/1VSbUB (would be cool to visualize customer data like that)
  7. "Four Global Business Trends to Watch" http://bit.ly/4jZWi3 ("online marketing spending could increase to 20 percent of the total budget")
  8. One of our advisors, John Shawe-Taylor, has an article in the current CACM: "Machine Learning for Complex Predictions" http://bit.ly/2A092H
  9. RT @vyolian: [Interview] John Graham-Cumming, @causata CTO on ML side of things. http://tinyurl.com/yjwkzbj
  10. CTO @jgrahamc is now sitting on the LAX to LHR flight after some great meetings with potential customers. Looking forward to our 1.0 release
  11. Key to understanding large datasets is asking "what is" instead of "what if" and allow technology to find the questions and answers.
  12. Since we exploit parallelism and the cloud at Causata we like articles like this: http://bit.ly/MUkgL
  13. You can follow Causata's CTO on Twitter, he's @jgrahamc
  14. Causata is looking for a JavaScript guru in the San Francisco Bay Area: http://bit.ly/31V9tS
  15. "Harry Potter and the Philosopher's Stone" vs. "Information Theory, Inference, and Learning Algorithms" :-) http://bit.ly/OuAeq
  16. Yet another good free resource for people who need to think about statistics "Elements of Statistical Learning" PDF: http://bit.ly/49b2Bm
  17. Take a look at these beautiful posters. They are covered in data: http://flowingprints.com/
  18. Business Week also did a nice job of covering the new world of "Big Data": http://bit.ly/yXno3 We're interested in "Big Customer Data"
  19. Interesting article about the challenges of handling large amounts of data. We like those sorts of challenges: http://bit.ly/10KG9X
  20. Not ready to announce first customers yet, but as this article says our initial focus is Financial Services and Retail: http://bit.ly/2Dabm