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Everything we'd like to do with LSST data, but we don't know (yet) how.

, , and . Astroinformatics, volume 12 of Proceedings of the International Astronomical Union, page 93-102. Cambridge University Press, (2016)

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The Two-Component Radio Luminosity Function of QSOs: Star Formation and AGN, , , , and . (2011)cite arxiv:1107.3551Comment: 11 pages, 2 figures. Accepted for publication. This Letter will appear in the ApJL EVLA special issue.The Seventh Data Release of the Sloan Digital Sky Survey, , , , , , , , , and 194 other author(s). The Astrophysical Journal Supplement Series, 182 (2): 543 (2009)The Zwicky Transient Facility: System Overview, Performance, and First Results, , , , , , , , , and 106 other author(s). (2019)cite arxiv:1902.01932Comment: Published in PASP Focus Issue on the Zwicky Transient Facility (https://dx.doi.org/10.1088/1538-3873/aaecbe). 21 Pages, 12 Figures.Everything we'd like to do with LSST data, but we don't know (yet) how., , and . Astroinformatics, volume 12 of Proceedings of the International Astronomical Union, page 93-102. Cambridge University Press, (2016)Introduction to astroML: Machine learning for astrophysics., , , and . CIDU, page 47-54. IEEE, (2012)The host galaxies of active galactic nuclei, , , , , , , , , and 3 other author(s). Monthly Notices of the Royal Astronomical Society, 346 (4): 1055--1077 (2003)Quasar Classification Using Color and Variability, , , , , , , , and . (2015)cite arxiv:1508.04121Comment: 32 pages, 23 figures. Accepted for publication in ApJS. Data file is available at http://oberon.physics.drexel.edu/~tinapeters/quasarclassification/Peters2015Catalog_30042015.fit.bz2.Spectroscopic Target Selection in the Sloan Digital Sky Survey: The Main Galaxy Sample, , , , , , , , , and 26 other author(s). The Astronomical Journal, 124 (3): 1810 (2002)Stellar masses and star formation histories for 105 galaxies from the Sloan Digital Sky Survey, , , , , , , , , and 12 other author(s). Monthly Notices of the Royal Astronomical Society, 341 (1): 33--53 (2003)Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data, , , and . Princeton University Press, (2014)