Skip to footer

Tag: Data Visualization at Uber

San Francisco map showing average, clustered traffic speeds

Uber Visualization Highlights: Displaying City Street Speed Clusters with SpeedsUp

As part of Uber Visualization's all-team hackathon, we built SpeedsUp, a project using machine learning to process average speeds across a city, cluster the results, and overlay them on a street map.
Uber open source logo

Uber Open Source in 2019: Community Engagement and Contributions

Uber recounts its many engagements with the open source community during 2019, from contributing projects to joining and founding new open source support organizations.
Uber AI Chief Scientist Zoubin Ghahramani speaks at Uber Open Summit 2018

Collaboration at Scale: Highlights from Uber Open Summit 2018

Uber hosted its first Open Summit on November 15, inviting the open source community to learn about our open source projects from the engineers who use them every day. Check out highlights from the day, including keynotes from the Linux Foundation's Jim Zemlin and Uber AI's Zoubin Ghahramani.
Nicolas Garcia Belmonte

Open Source at Uber: A Conversation with Nicolas Garcia Belmonte, Head of Visualization

Nicolas Garcia Belmonte, head of visualization, talks about his experience getting started in open source and the role it plays in his work at Uber.

The Pulse of a City: How People Move Using Uber Engineering

When do people most frequently request rides? Using Uber Data in 2014, we see how cities around the world have different rhythms of movement. Here's the pulse of New York City, London, Los Angeles, San Francisco, Chicago and Miami.

Popular Articles