2220 results for "earn" across all locations
The Illinois Hands-Free Act
Learn more about what is and isn’t permitted by drivers with the new Illinois Hands-Free Act.
Three questions business travelers ask themselves on the road
Learn what your travelers’ key concerns are while on the road and tips for proactively solving them.
Access: How to Use the App
We want you to make the most of your time when driving with the Uber app. Learn more here.
Support: Your support options
We want you to make the most of your time when driving with the Uber app. Learn more here.
Our road to self-driving vehicles
Meet the teams and learn about the advanced technology that’s been fueling our vehicles for over a million miles now.
UberMENTOR: Ride and Learn from Boston’s Brightest
It’s the opportunity of a lifetime—the chance to meet and learn from a local thought leader.
Meta-Learning for Semi-Supervised Few-Shot Classification
M. Ren, E. Triantafilou, S. Ravi, J. Snell, K. Swersky, J. Tenenbaum, H. Larochelle, R. Zemel
In few-shot classification, we are interested in learning algorithms that train a classifier from only a handful of labeled examples. Recent progress in few-shot classification has featured meta-learning, in which a parameterized model for a learning algorithm is defined and trained on episodes representing different classification problems, each with a small labeled training set and its corresponding test set. […] [PDF]
Code & Datasets: [LINK]
International Conference on Learning Representations (ICLR), 2018
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
Driver phrasebook – learn languages with Uber!
Blog about language courses for drivers