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Explore feature extraction and machine learning techniques specifically applied to computational music analysis in this comprehensive lecture from MIT's Computational Music Theory and Analysis course. Learn how to implement artificial intelligence methods for analyzing musical data, with practical demonstrations using the music21 toolkit. Discover the intersection of machine learning algorithms and music theory as you examine how computational approaches can extract meaningful features from musical compositions and apply AI techniques to understand musical patterns and structures.
