This report introduces contemporary machine learning systems, but also provides a conceptual framework to help you integrate machine-learning capabilities into your user-facing designs.
Patrick Hebron is a Scientist-in-Residence and Adjunct Graduate Professor at NYU’s Interactive Telecommunications Program. His research relates to the development of machine-learning-enhanced digital design tools. He is the creator of Foil, a next-generation design and programming environment that aims to extend the creative reach of its user through the assistive capacities of machine learning. Patrick has worked as a software developer and design consultant for numerous corporate and cultural institution clients including Google, Oracle, Guggenheim / BMW Labs and the Edward M. Kennedy Institute.