Big article on how #uber ML system Michelangelo works
Michelangelo enables internal teams to seamlessly build, deploy, and operate machine learning solutions at Uberβs scale. It is designed to cover the end-to-end ML workflow: manage data, train, evaluate, and deploy models, make predictions, and monitor predictions. The system also supports traditional ML models, time series forecasting, and deep learning.
Link: https://eng.uber.com/michelangelo/
#ML #MLSystem #MLatwork #practical
Michelangelo enables internal teams to seamlessly build, deploy, and operate machine learning solutions at Uberβs scale. It is designed to cover the end-to-end ML workflow: manage data, train, evaluate, and deploy models, make predictions, and monitor predictions. The system also supports traditional ML models, time series forecasting, and deep learning.
Link: https://eng.uber.com/michelangelo/
#ML #MLSystem #MLatwork #practical