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 140

Speakers

Peter Melchior, Princeton University

Affiliation

Princeton University