2287 results for "earn" across all locations
uberPOOL FAQ
Learn more about uberPOOL in Seattle and the SeaTac Airport.
Uber for Business: The big picture
Learn about the new Global Head of Uber for Business and the vision for the team and product.
Uber’s Journey to Ray on Kubernetes: Ray Setup
Uber crafted a cutting-edge architecture for orchestrating machine learning pipelines with Ray® on Kubernetes®. Dig into the Ray setup we designed.
Driver phrasebook – learn languages with Uber!
Blog about language courses for drivers
Elastic Deep Learning with Horovod on Ray
Improve User Retention with Causal Learning
S. Du, J. Lee, F. Ghaffarizadeh
User retention is a key focus for consumer based internet companies and promotions are an effective lever to improve retention. However, companies rely either on non-causal churn prediction to capture heterogeneity or on regular A/B testing to capture average treatment effect. In this paper, we propose a heterogeneous treatment effect optimization framework to capture both heterogeneity and causal effect. […] [PDF]
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019
Differentiable plasticity: training plastic neural networks with backpropagation
T. Miconi, J. Clune, K. Stanley
How can we build agents that keep learning from experience, quickly and efficiently, after their initial training? Here we take inspiration from the main mechanism of learning in biological brains: synaptic plasticity, carefully tuned by evolution to produce efficient lifelong learning. We show that plasticity, just like connection weights, can be optimized by gradient descent in large (millions of parameters) recurrent networks with Hebbian plastic connections. […] [PDF]
International Conference on Machine Learning (ICML), 2018
Neuroevolution: A Different Kind of Deep Learning
K. Stanley
Neuroevolution is making a comeback. Prominent artificial intelligence labs and researchers are experimenting with it, a string of new successes have bolstered enthusiasm, and new opportunities for impact in deep learning are emerging. […] [HTML]
O’Reilly Online, 2017
Novo Protocolo de Validação de Documentos
Com o objetivo de reforçar o cumprimento dos requisitos legais aplicáveis à atividade TVDE, a Uber, em parceria com o Instituto da Mobilidade e dos Transportes (IMT), implementou um novo mecanismo de validação de documentos.
Helping keep riders and drivers safe
Whether it’s getting to the airport in the morning or home after a night out, millions of people across the UK rely on Uber to book a safe ride from A