BitRate Series: Building An Interactive Machine Learning Orchestra Using ml5.js Workshop
Machine learning is more accessible now than ever before. This workshop will guide participants through how to work with ml5.js, a powerful open-source library for machine learning online. In the span of three hours we’ll go from a high-level overview down to working on implementing and deploying a custom instrument backed by machine learning models. By the end of the workshop students will have developed a unique instrument and functional knowledge of how to approach integrating ml5.js into interactive, creative projects.
Stephanie Andrews is an experience designer and creative technologist interested in exploring economies of collectivity, care, and communication. Her work seeks to respond to emergent issues with levity and sentimentality, primarily taking the form of flux kits, software tools, art games, tactile spaces, and participatory installations. Stephanie brings to her art practice an interdisciplinary background spanning software engineering, interaction design, public policy, social work, and community organizing. She specializes in building interactive systems that use digital, physical, and interpersonal mediums to create communal space.