Audiovisual Programming: Machine learning for the sampledelic
How can a machine hear and interpret music? What patterns does it perceive in the sonic flow and how different they are from human perception? We are going to use machine learning methods for sampledelic reconstruction of pop songs. This time, our aim is to recreate new hot stuff for the empty dancefloor of the party that no one will attend. Let the machine entertain us! (Warning: to speak with the machine we're gonna code in Python!)

The dates are 23.4, 24.4, 30.4, 7.5, 8.5, 14.5, 15.5, 21.5 22.5, 28.5 (10:00-12:00)
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Zeitgeist Log

2020-04-13 18:01:00.266955 alberto-decampo@medienhaus.udk-berlin.de executed add_bound with variables "obj"=>"7623", "ord"=>"1", "sub"=>"221", "bound_id"=>"19568", "predicate"=>"is_parent"
2020-04-18 12:46:23.771954 nikoloz-kapanadze@medienhaus.udk-berlin.de executed /view/7623/ with variables
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