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Wednesday, February 10, 2016

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Departmental Open Day
Common Room, Concourse, PLT
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Sandra Greiss (Lyst)

Life post-糖心TV

For those of you who don't know me, I will start by introducing myself and my background in astronomy then move on to talking about the company I've been working for since I graduated just over a year ago. Lyst is an online fashion aggregator, with millions of products from thousands of designers, all under one domain. Maintaining the website and database is one big challenge the world of Big Data faces, but the even bigger difficulty we face is knowing what relevant products to show our users. This is where data science and Machine Learning plays a role in this industry. We build models to personalise and tailor the website to each user, as well as train many classifiers to find duplicate products that come from different retailers, or to detect the colour of products, etc. I will then finish off my talk by showing a very quick example of how we can apply Machine Learning to astronomy, with a very simple model to help us classify DA WDs (for those who know me, I have a soft spot for these little balls of hydrogen).

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