Machine Learning

Tools and theory at the intersection of machine learning and interaction design. Add a touch of data-driven intelligence to your prototypes and designs.

Workshop Dates: February 2019

Keywords: Machine Learning, Artificial intelligence, Interactivity, Interaction Design, Prototyping, Digital Art, Neural Networks

A hands-on introduction to machine learning with a focus on creating your own artistic and interactive applications.

Learning expectations:
Participants will learn how to use neural networks to create real-time, cross-modal interactions for use in video, installation, live music performance, and physical computing
Participants will also be provided with a suite of tools and code for clustering, visualizing, and searching through large collections of multimedia.

Prior coding experience in a text-based or patch-based programming environment–especially in creative coding frameworks like Processing and OpenFrameworks, or in Python, or Javascript–would be helpful but is not necessary to get the most out of the class.