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Kavli Summer Program In Astrophysics 2019: Machine Learning in the era of large astronomical surveys (KSPA 2019)

The past decade has ushered in the era of Big Data in astronomy -- multiple surveys that image large areas of the night sky, spectroscopic programs that compile millions of spectra each comprised of thousands of data-points, and large-scale numerical simulations capable of generating Terabytes of outputs in a single run. This torrent of data is forcing the astronomical community to evolve away from traditional approaches to data analysis. Even algorithms and techniques developed for modest datasets are being overwhelmed or lack sufficient generality to efficiently extract science from the largest datasets. These challenges have inspired astronomers to introduce tools developed in the data-science industry, i.e. to apply machine-learning to pursue science in the era of Big Data. The 2019 Kavli Summer Program will be focused on the application of machine-learning techniques in astronomy. We will host lectures and research projects covering a diversity of these techniques -- random tree forests, deep learning algorithms, Gaussian processes, and more, applied to imaging, spectroscopic, and computational datasets.
When 08 July 2019 11:10 AM to
16 August 2019 11:10 AM
Where Santa Cruz CA USA
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