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SUMMARY:Stellar classification using machine learning - Sandra Greiss\, Ly
 st
DTSTART:20160602T183000Z
DTEND:20160602T200000Z
UID:TALK66428@talks.cam.ac.uk
CONTACT:Chih-Chun Chen
DESCRIPTION:Twinkle twinkle little star\, how I wonder what you are…\nTh
 is free evening talk will explore Machine Learning applications in astroph
 ysics\, using manual star classification techniques as an example.\n\nFrom
  the speaker:\nIn my previous life\, I was an astronomer and one of the bi
 g tasks many PhD students face is manual star classification. But why ask 
 a student to do what a machine should be able to do too? In this talk\, I 
 use the spectra (stellar flux vs wavelength) of identified stars to build 
 a classifier which will detect the identity of the stars. Using a very sim
 ple non linear SVM\, I achieve an 86% accuracy with my model. The next ste
 p is to use deep neural nets to achieve a better accuracy.
LOCATION:Barclays Eagle Labs\, 28 Chesterton Road
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