Princeton University Data Science in Astronomy Seminar
(Gaussian) Mixture Models
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).
Date & Time
February 23, 2018 | 3:30pm – 5:00pm
Location
Peyton Hall, Grand Central, Room 140Speakers
Peter Melchior, Princeton University
Affiliation
Princeton University