Pushing the technical frontier: From overwhelmingly large data sets to machine learning
Abstract
This paper summarizes my thoughts, given in an invited review at the IAU symposium 341 "Challenges in Panchromatical Galaxy Modelling with Next Generation Facilities", about how machine learning methods can help us solve some of the big data problems associated with current and upcoming large galaxy surveys.
- Publication:
-
Panchromatic Modelling with Next Generation Facilities
- Pub Date:
- 2020
- DOI:
- 10.1017/S1743921319003077
- arXiv:
- arXiv:1901.05978
- Bibcode:
- 2020IAUS..341...88A
- Keywords:
-
- Surveys;
- Big Data;
- Machine Learning;
- Astrophysics - Instrumentation and Methods for Astrophysics
- E-Print:
- Submitted for publication in Proceedings of the IAU symposium 341, Osaka, Japan, 2018. Comments welcome!