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Machine Learning for the study of cosmic particles is a raising topic, which meanwhile has reached all detection techniques for all types of primary particles, be it a higher precision for the reconstruction of cosmic-ray air showers or neutrino induced particle showers, lowering the threshold or radio arrays, or improving the gamma-hadron separation. This workshop aims at bringing those together who actively work on machine learning in the context of high energy astroparticle physics.