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Pushing the technical frontier: From overwhelmingly large data sets to machine learning

Published online by Cambridge University Press:  10 June 2020

Viviana Acquaviva
Viviana Acquaviva*
Affiliation:
Physics Department, New York City College of Technology, 300 Jay Street, Brooklyn NY 11201 email: vacquaviva@citytech.cuny.edu
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Abstract

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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.

Keywords

SurveysBig DataMachine Learning
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 15 , Symposium S341: Challenges in Panchromatic Modelling with Next Generation Facilities , November 2019 , pp. 88 - 98
Copyright
© International Astronomical Union 2020

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