Every week we discuss data science methods and applications from papers, reviews, software releases, etc. We emphasize when to use specific methods and when not. We also have demos for useful/fancy methods by locals and visitors. The setting is informal. Material should be presented directly from the source or on the white board, demos should be hands-on. We collect links to documents, source code, tutorials, etc. for later perusal at https://github.com/pmelchior/astro-data-science. If you would like to present at the data science seminar, please contact Peter Melchior (melchior[at]astro.princeton.edu) or Adrian Price-Whelan (adrn[at]astro.princeton.edu).
Princeton University Data Science in Astronomy Seminar - Added
Introduction to PyTorch & Discussion of Seminar Format
Natural Sciences, Natural Sciences
Date & Time
September 14, 2018 | 3:30 – 5:00pm
Peyton Hall, Grand Central, Room 140