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2018-web/data/talks/PC-55535.yaml
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| # Talk details are specified in YAML files | |
| # YAML was selected because we can use multi-line strings and add | |
| # comments in the file. | |
| speaker_name: "Pippin Lee" | |
| talk_title: "Detecting Supernovas with Python" | |
| # At least 1 tag is necessary!! | |
| talk_tags: | |
| - "Python" | |
| - "Astronomy" | |
| - "Machine Learning" | |
| talk_abstract: "There's a telescope that sits on a mountaintop in the Chilean desert––its job is to capture and help scientists understand the dark matter of our universe. But this isn't a talk just about dark matter, it's about discovering fleeting supernovas in space, while discovering the world of Python." | |
| talk_details: "When you're new to a programming language, they tell you to find a problem that will keep your interest. One year, and 1 million images of space later, we now have the best model for classifying supernovas. The funny thing is, it's actually pretty easy––thanks to Python's open source and data science world. | |
| This talk is a quick walk-through of lessons learned while developing with Python, and proving that writing supernova detection code isn't just for astronomers." | |
| # Markdown is supported | |
| about_author: 'Pippin builds interfaces and tools to help make machine learning more usable at Dessa. He also spends time researching how deep learning techniques can help astronomers with space2vec.' | |
| # web link will only show if about_author section is present | |
| author_website: 'http://www.space2vec.com/' |