ಟ್ವೀಟ್ಗಳು
- ಟ್ವೀಟ್ಗಳು
- ಟ್ವೀಟ್ಗಳು & ಪ್ರತಿಕ್ರಿಯೆಗಳು
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@KiraRadinsky ತಡೆಹಿಡಿಯಲಾಗಿದೆ
ನೀವು ಖಚಿತವಾಗಿಯೂ ಈ ಟ್ವೀಟ್ಗಳನ್ನು ನೋಡಲು ಬಯಸುವಿರಾ? ಟ್ವೀಟ್ಗಳನ್ನು ನೋಡುವುದು @KiraRadinsky ಅವರನ್ನು ತಡೆತೆರವುಗೊಳಿಸುವುದಿಲ್ಲ.
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Die Chancen,als Optimist geboren zu werden, sind gut! Sind Sie einer? Aufmacher mit Bildtest im Wirtschaftsteil von
@kerstinbund in@diezeitpic.twitter.com/izrQa6aSsl
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Predictive analytics health research institute set up: http://iglob.es/?en1172819 | via
@GlobesEnglish@morriskahn@kiraradinsky -
#Israel's#Predictive#Analytics research institute - predicting#ColonCancer with@KiraRadinsky & Maccabi Healthhttp://ow.ly/Xd7o308by5v -
Predictive analytics health research institute set up in
@Israel http://buff.ly/2k8jj8Z#Macabbi@TechnionLive@kiraradinskypic.twitter.com/Jpzl3yKnRh
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Statisticians have to get out of the purist position of fitting models based solely on direct historical datahttp://s.hbr.org/2hwtwxe
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To avoid critical mistakes in prediction, data analysts need to adopt new methods
#bigdata#analytics@KiraRadinskyhttps://hbr.org/2016/12/how-to-make-better-predictions-when-you-dont-have-enough-data … -
Kira Radinsky ಹಿಂಬಾಲಿಸಿದ್ದಾರೆ Chris Olah, Danijar Hafner, Jeremy Howard and 28 others
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@ch402
ML Researcher. I want to understand things clearly and explain them well. http://distill.pub
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@danijarh
Researcher and engineer aiming to build intelligent machines based on concepts of the human brain.
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Humbled to receive the honorary fellow of the Afeka college of engineering along with Prof. Ruth Arnon. Welcome new generation of engineers!pic.twitter.com/8pBgAR8OkG
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Machine learning model better than the median ophthalmologist in assessing signs of diabetic retinopathyhttps://research.googleblog.com/2016/11/deep-learning-for-detection-of-diabetic.html?1480482996240=1&m=1 …
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#Techfest:@KiraRadinsky: Our ability to build correlations is limited by our knowledge, limiting causality networks#bigdatapic.twitter.com/jbeVaRMO4P
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#Techfest:@KiraRadinsky: You need to give your#machinelearning algorithms ability, freedom to abstract#BigDataAnalyticspic.twitter.com/dWqcfrFeBK
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#Techfest:@KiraRadinsky: Good causality example in Zaire, search for resources led to deforest, animals fleeing habitats, ebola spreadingpic.twitter.com/CinU8g4iQJ
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#Techfest:@KiraRadinsky: We test new drugs on 100s, but#bigdata lets us track side effects on millionspic.twitter.com/4i0A3dEzY6
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#Techfest:@KiraRadinsky: Trying to cluster many events together into an#eventchain |#bigdata -
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#Techfest:@KiraRadinsky: We test new drugs on 100s, but#bigdata lets us track side effects on millions http://dlvr.it/Mj4xP6 pic.twitter.com/d1sDnlDKsU
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#Techfest:@KiraRadinsky: You need to give your#machinelearning algorithms ability, freedom to abstract… http://dlvr.it/Mj52QM pic.twitter.com/ItXO3PqSAo
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#Techfest:@KiraRadinsky: Main problem trying to predict result of#eventchain is#data has never extrapolated certain conclusions b4pic.twitter.com/Gn5TRYPoRb
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Super fun to host the Victorian Government (Australia) Cyber Mission at our office in
@eBayIsraelpic.twitter.com/FC3Z4dVeHZ
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D3: visited
@TechnionLive stopped by@CyberGymArena was impressed with@KiraRadinsky@eBayIsrael then met@CheckPointSW founder &#Rafaelpic.twitter.com/NLUUBDx0zk
ಲೋಡಿಂಗ್ ಸಮಯ ಸ್ವಲ್ಪ ತೆಗೆದುಕೊಳ್ಳುತ್ತಿರುವಂತೆನಿಸುತ್ತದೆ.
Twitter ಸಾಮರ್ಥ್ಯ ಮೀರಿರಬಹುದು ಅಥವಾ ಕ್ಷಣಿಕವಾದ ತೊಂದರೆಯನ್ನು ಅನುಭವಿಸುತ್ತಿರಬಹುದು. ಮತ್ತೆ ಪ್ರಯತ್ನಿಸಿ ಅಥವಾ ಹೆಚ್ಚಿನ ಮಾಹಿತಿಗೆ Twitter ಸ್ಥಿತಿಗೆ ಭೇಟಿ ನೀಡಿ.
ZEIT Geld
Danielle Tichner
Jacob Greenblatt
MedTech Analytics
Harvard Biz Review
Kira Radinsky
Karl Meier
Geektime
InnovaScape
Philip Dalidakis MP