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.


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.

Speaker: Sandra Greiss

I joined Lyst in December 2014, as a junior data scientist, a couple of months after I finished my PhD in Astronomy and Astrophysics (Warwick). Lyst is an online fashion website, where we aggregate millions of products from thousands of retailers. I am responsible for building the ‘autocomplete’ and ‘did you mean’ features of Search on our website. I have now moved towards more data science projects, where I want to predict the fabric of clothes, shoes and bags on Lyst using their descriptions and images. I use crowdsourcing to tag the products for the training dataset of my models. Besides work, I have a weird obsession with shoes, good food and travelling every few weeks!

If you’re curious about Machine Learning and the latest innovations in tech, we hope to see you there. Anyone welcome!

Please register for the event below:

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