On QCon.ai Chong Sun and Danny Yuan discuss how Uber is using ML to improve their forecasting models, the architecture of their ML platform, and lessons learned running it in production.
The meeting is well structured and divided into 3 large parts:
- The pipeline and why do forecasting, what is the challenge they face
- The Model Management ( 17:52m )
- Data Science and Engineerng Work Flow (34:40 pm)
Source: Machine Learning Pipeline for Real-Time Forecasting @Uber Marketplace
