When: Fridays every week
Time: 3:30pm - 5:00pm
Where: Grand Central Conference Room (Room 140), Peyton Hall
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.
This semester we base the seminar on part III of the book Statistics, Data Mining, and Machine Learning in Astronomy (aka "the yellow book").
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 in this github repo.
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).
|2/09/2018||Peter Melchior||Introduction and scikit-learn|
|2/16/2018||Adrian Price Whelan||Non-parametric density estimation|
|2/23/2018||Peter Melchior||(Gaussian) Mixture models|