Democratize Machine Learning
The Computation Design Session begins with a dialogue about designs role in shaping a democratic form of machine learning. How might we shape our awareness of computation designs implicit impact in future technology? Session attendees will consider democratized design as the basis for machine learning.
Schedule + Outcome
- Dialogue | Discuss computation designs implicit impact
- Practice | Run a HCD framework with a ML model
- Implement | Extend computation design in your work!
This is an instructor-led session held live over a remote Zoom call. (You will receive a Zoom link with your enrollment email). Each session is intended to foster a hands-on learning environment to engage in dialogue, practice the session material, and implement the learning into your design workflow.
- Next Session launching soon 🚀
Tyler is a product designer with a mission to create delightful digital experiences that deeply impact people’s lives. With an academic background in urban design, ecological systems design, and an MBA in Sustainable Enterprise, he approaches design problems with a human-centered methodology, focusing on building empathy throughout the design process.
He has worked with organizations spanning solar technology, electric bicycles, organization design, farm-to-fork food systems and climate impact analysis for local governments. Tyler is a current UXDI Immersive instructor at General Assembly in New York City.