Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Michael Freeman

Michael Freeman
Lecturer, University of Washington

Website | @mf_viz

Michael Freeman is a Lecturer at the University of Washington Information School where he teaches courses in data science, interactive data visualization, and web development. Prior to his teaching career, he worked as a data visualization specialist and research fellow at the Institute for Health Metrics and Evaluation. There, he performed quantitative global health research and built a variety of interactive visualization systems to help researchers and the public explore global health trends.

Michael is interested in applications of data visualization to social change, and holds a Master’s in Public Health from the University of Washington. See more of Michael’s work on his personal website.


12:0512:45 Wednesday, 23 May 2018
Data science and machine learning, Visualization and user experience
Location: Capital Suite 14 Level: Non-technical
Michael Freeman (University of Washington)
Statistical and machine learning techniques are only useful when they're understood by decision makers. While implementing these techniques is easier than ever, communicating about their assumptions and mechanics is not. In this session, participants will learn a design process for crafting visual explanations of analytical techniques and communicating them to stakeholders. Read more.