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University of Cambridge > Talks.cam > Cambridge Coding Academy free tech talks > Stellar classification using machine learning
Stellar classification using machine learningAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Chih-Chun Chen. For more details and to register: https://blog.cambridgecoding.com/2016/05/22/free-tech-talk-stellar-classification-using-machine-learning/ Twinkle twinkle little star, how I wonder what you are… This free evening talk will explore Machine Learning applications in astrophysics, using manual star classification techniques as an example. From the speaker: In my previous life, I was an astronomer and one of the big 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 simple non linear SVM , I achieve an 86% accuracy with my model. The next step is to use deep neural nets to achieve a better accuracy. This talk is part of the Cambridge Coding Academy free tech talks series. This talk is included in these lists:Note that ex-directory lists are not shown. |
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