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AstroInformatics 2019 Conference

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Tutorial: Deep Learning - Dima Duev - 6/24/2019

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Tutorial: Time Series Analysis - Matthew Graham - 6/24/2019

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Opening Keynote: Artificial Intelligence - Anima Anandkumar - 6/24/2019

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Clouds, Climate, And Data-Informed Earth System Modeling - Tapio Schneider - 6/24/2019

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High-Dimensional Data Analysis In Astronomy And Biology - Lior Pachter - 6/24/2019

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Tutorial: Data Visualization - Santiago Lombeyda - 6/24/2019

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A Special Announcement - George Djorgovski - 6/24/2019

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Applications of Deep Learning in Astronomy and Electron Microscopy - Ajit Kembhavi - 6/25/2019

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Deep Learning for Classification in Astronomy and Biomedicine - Ashish Mahabal - 6/25/2019

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Clustering Observational Data Using Deep Learning Network - Banafsheh Beheshtipour - 6/25/2019

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Hunting for dark matter substructures with neural networks - Joshua Yao-Yu Lin - 6/25/2019

From Photometric Redshift to Improved Weather Forecasts - Kai Polsterer - 6/25/2019

Star Formation Rates as a ML Problem: An Application to SDSS Data - Giuseppe Longo - 6/25/2019

Random Forest applied to the photometric survey JPLUS - Andres Galarza - 6/25/2019

Tutorial: Machine Learning basics - Umaa Rebbapragada - 6/24/2019