Data Knot Workshop

This workshop centers around Data Knot, a machine learning package designed for low-latency, real-time musical performance within the FluCoMa ecosystem. Addressing the gap between existing ML tools and the needs of music practitioners, the workshop frames machine learning as an accessible, creative material rather than a specialized technical domain. Through a combination of guided lectures, hands-on coding, and group discussion, participants will learn to build classifiers and regressors, explore descriptor-based audio analysis, and develop personalized performance patches in Max. Emphasizing experimentation, artistic context, and community exchange, the workshop aims to lower barriers to ML adoption while fostering meaningful engagement with diverse music-making practices.