Engineering More Reliable Transportation with Machine Learning and AI at Uber
In recent months, Uber Engineering has shared how we use machine learning (ML), artificial intelligence (AI), and advanced technologies to create more seamless and reliable experiences for our users. From introducing a Bayesian neural network architecture that more accurately estimates trip growth, to our real-time features prediction system, and even our own internal ML-as-a-service platform, Michelangelo, these two fields are critical to supporting Uber’s mission of developing reliable transportation solutions for everyone,