Tag: Applied Machine Learning
We built a backtesting service to better assess financial forecast model error rates, facilitating improved forecast performance and decision making.
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 Chief Scientist Zoubin Ghahramani explains how artificial intelligence went from academia to real-world applications, and how Uber uses it to make transportation better.
Uber engineers offer two common use cases showing how we orchestrate machine learning model training in our data workflow engine.
Uber built the next generation of COTA by leveraging deep learning models, thereby scaling the system to provide more accurate customer support ticket predictions.