Kira Radinsky

@KiraRadinsky

eBay Director of Data Science and Chief Scientist Israel (former SalesPredict CTO, acquired by eBay). Passionate about predictive data mining

Israel
ಮೇ 2009 ಸಮಯದಲ್ಲಿ ಸೇರಿದ್ದಾರೆ

@KiraRadinsky ತಡೆಹಿಡಿಯಲಾಗಿದೆ

ನೀವು ಖಚಿತವಾಗಿಯೂ ಈ ಟ್ವೀಟ್‌ಗಳನ್ನು ನೋಡಲು ಬಯಸುವಿರಾ? ಟ್ವೀಟ್‌ಗಳನ್ನು ನೋಡುವುದು @KiraRadinsky ಅವರನ್ನು ತಡೆತೆರವುಗೊಳಿಸುವುದಿಲ್ಲ.

  1. ಜನ 12

    Die Chancen,als Optimist geboren zu werden, sind gut! Sind Sie einer? Aufmacher mit Bildtest im Wirtschaftsteil von in

    ಮತ್ತು
  2. ಜನ 24

    Predictive analytics health research institute set up: | via

  3. ಜನ 20

    's research institute - predicting with & Maccabi Health

  4. ಜನ 20

    Predictive analytics health research institute set up in

  5. ಡಿಸೆಂ 30,2016

    Statisticians have to get out of the purist position of fitting models based solely on direct historical data

  6. ಡಿಸೆಂ 29,2016
  7. ಡಿಸೆಂ 29,2016

    To avoid critical mistakes in prediction, data analysts need to adopt new methods

  8. Kira Radinsky ಹಿಂಬಾಲಿಸಿದ್ದಾರೆ , , and 28 others
    • @ch402

      ML Researcher. I want to understand things clearly and explain them well.

    • @danijarh

      Researcher and engineer aiming to build intelligent machines based on concepts of the human brain.

  9. ಡಿಸೆಂ 4,2016

    Humbled to receive the honorary fellow of the Afeka college of engineering along with Prof. Ruth Arnon. Welcome new generation of engineers!

  10. ನವೆಂ 30,2016

    Machine learning model better than the median ophthalmologist in assessing signs of diabetic retinopathy

  11. ನವೆಂ 20,2016

    : : Our ability to build correlations is limited by our knowledge, limiting causality networks

  12. ನವೆಂ 20,2016

    : : You need to give your algorithms ability, freedom to abstract

  13. ನವೆಂ 20,2016

    : : Good causality example in Zaire, search for resources led to deforest, animals fleeing habitats, ebola spreading

  14. ನವೆಂ 20,2016

    : : We test new drugs on 100s, but lets us track side effects on millions

  15. ನವೆಂ 20,2016

    : : Trying to cluster many events together into an |

  16. ನವೆಂ 20,2016

    RT : : We test new drugs on 100s, but lets us track side effects on millions

  17. ನವೆಂ 20,2016

    RT : : You need to give your algorithms ability, freedom to abstract…

  18. ನವೆಂ 20,2016

    : : Main problem trying to predict result of is has never extrapolated certain conclusions b4

  19. ನವೆಂ 16,2016

    Super fun to host the Victorian Government (Australia) Cyber Mission at our office in

  20. ನವೆಂ 16,2016

    D3: visited stopped by was impressed with then met founder &

ಲೋಡಿಂಗ್ ಸಮಯ ಸ್ವಲ್ಪ ತೆಗೆದುಕೊಳ್ಳುತ್ತಿರುವಂತೆನಿಸುತ್ತದೆ.

Twitter ಸಾಮರ್ಥ್ಯ ಮೀರಿರಬಹುದು ಅಥವಾ ಕ್ಷಣಿಕವಾದ ತೊಂದರೆಯನ್ನು ಅನುಭವಿಸುತ್ತಿರಬಹುದು. ಮತ್ತೆ ಪ್ರಯತ್ನಿಸಿ ಅಥವಾ ಹೆಚ್ಚಿನ ಮಾಹಿತಿಗೆ Twitter ಸ್ಥಿತಿಗೆ ಭೇಟಿ ನೀಡಿ.

    ಇದನ್ನೂ ಸಹ ನೀವು ಇಷ್ಟಪಡಬಹುದು

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