![[WiSDOM] Moving the World with Data: Introductions @UberEngineering](https://i.ytimg.com/vi/T_cqMkIgYbo/maxresdefault.jpg)
Uploaded October 2018 | Updated September 2026, 2 weeks ago
During an October 2018 meetup, Uber data scientists Katherine Chen & Shyna Khurana, a co-founder of Uber WiSDOM (Women in Statistics, Data Optimization, and Machine Learning), talk about the group's goal of providing a platform for women in data science to foster career opportunities, connections, culture, and diversity.
During an October 2018 meetup, Uber data scientists Katherine Chen & Shyna Khurana, a co-founder of Uber WiSDOM (Women in Statistics, Data Optimization, and Machine Learning), talk about the group's goal of providing a platform for women in data science to foster career opportunities, connections, culture, and diversity.
![[WiSDOM] Moving the World with Data: Introductions](https://i.ytimg.com/vi/T_cqMkIgYbo/mqdefault.jpg "[WiSDOM] Moving the World with Data: Introductions
During an October 2018 meetup, Uber data scientists Katherine Chen & Shyna Khurana, a co-founder of Uber WiSDOM (Women in Statistics, Data Optimization, and Machine Learning), talk about the groups goal of providing a platform for women in data science to foster career opportunities, connections, culture, and diversity.")
![[Uber Open Summit 2018] Hierarchical Hexagons in Depth](https://i.ytimg.com/vi/UILoSqvIM2w/mqdefault.jpg "[Uber Open Summit 2018] Hierarchical Hexagons in Depth
Geographical grid systems often require different resolutions to address use cases at different scales, and it can be valuable to have a hierarchical relationship between cells at one resolution and those at the next. H3 has a hierarchical system where parent cells approximately contain their finer resolution children. In this talk during Uber open Summit 2018, H3 project lead Isaac Brodsky describes how this system is constructed, what use cases are and are not approximate, and gives examples of use cases enabled by a hierarchical grid system.
Learn more about Uber Open Source: https://uber.github.io/")
![[WiSDOM] Food Discovery with Uber Eats: Recommending for the Marketplace Yuyan Wang](https://i.ytimg.com/vi/UWDVOQq1uzQ/mqdefault.jpg "[WiSDOM] Food Discovery with Uber Eats: Recommending for the Marketplace Yuyan Wang
During an October 2018 meetup, Uber WiSDOM (Women in Statistics, Data Optimization, and Machine Learning) member & Uber Eats data scientist Yuyan Wang discusses how her team recommends restaurants to eaters with a view towards maintaining the health of our three-sided marketplace.")
![[Uber Marketplace] Using Machine Learning to Power Uber Eats Charlie Zhang](https://i.ytimg.com/vi/XAg4DIgoUdE/mqdefault.jpg "[Uber Marketplace] Using Machine Learning to Power Uber Eats Charlie Zhang
During a May 2018 meetup, engineering manager Charlie Zhang discusses how Uber uses machine learning to create a reliable, affordable, and effortless user experience on the Uber Eats app.")
![[Uber Open Summit 2018] Closing Keynote with Zoubin Ghahramani, Chief Scientist, Uber](https://i.ytimg.com/vi/YKrXmRuEBeU/mqdefault.jpg "[Uber Open Summit 2018] Closing Keynote with Zoubin Ghahramani, Chief Scientist, Uber
During the closing keynote of Uber Open Summit, Ubers Chief Scientist Zoubin Ghahramani discusses the symbiotic nature of open source collaboration and artificial intelligence, and how Uber is committed to growing our suite of open source ML technologies.")
