2219 results for "earn" across all locations
Uber Ice Cream Goes Global
On Friday, July 19th, Uber Ice Cream is going global, serving ice cream on-demand to 33 cities across 10 countries.
Uber Ice Cream Goes Global
On Friday, July 19th, Uber Ice Cream is going global, serving ice cream on-demand to 33 cities across 10 countries.
Dynamic Executor Core Resizing in Spark
Are your Spark apps failing with OOM exceptions? Do you spend a lot of time tuning the executor memory? Learn how we changed Spark to run hundreds of such failing apps more reliably and efficiently, all with no human intervention.
Innovative Recommendation Applications Using Two Tower Embeddings at Uber
Learn how we developed a unified, global, Two-Tower Embedding model to replace 1,035 city-specific DeepMF models, decreasing training time by orders of magnitude and working at Uber scale with millions of eaters and stores and hundreds of millions of items
Vehicle photo
Page informing Drivers that photo of a vehicle is a mandatory document now. By reading through the blog post they can learn how to properly take a photo in order to display all the markings as well how should it differ from city to city.
How Uber Optimized Cassandra Operations At Scale
Learn how Uber runs mission-critical workloads on Apache Cassandra at tens of millions of queries per second on petabytes of data, and how the team achieved significant reliability gains through seemingly small and incremental changes that add up at Uber scale.
Variational Gaussian Dropout is not Bayesian
J. Hron, A. Matthews, Z. Ghahramani
Gaussian multiplicative noise is commonly used as a stochastic regularisation technique in training of deterministic neural networks. A recent paper reinterpreted the technique as a specific algorithm for approximate inference in Bayesian neural networks; several extensions ensued. […] [PDF]
Bayesian Deep Learning Workshop @ NeurIPS, 2017
Pyro: Deep Universal Probabilistic Programming
E. Bingham, J. Chen, M. Jankowiak, F. Obermeyer, N. Pradhan, T. Karaletsos, R. Singh, P. Szerlip, P. Horsfall, N. Goodman
Pyro is a probabilistic programming language built on Python as a platform for developing advanced probabilistic models in AI research. […] [PDF]
Journal of Machine Learning Research (JMLR), 2018
Uber’s B2B Marketing Head on how to lead while learning
Uber’s Global B2B Marketing Director Michelle Lisowski shares insights from a diverse career in big tech and start-ups, what excites her about the Uber brand, and how she learns as she leads.
How Applied and Data Science leader Minji Lee is driving innovation at Uber Freight
Minji Lee leads the Applied and Data Science team for Pricing at Uber Freight. Below, she gives us a behind-the-scenes look at her career so far, the lessons she’s learned, and what continues to excite her about Uber Freight.