Meet the People Join the Team
Categories

Uber Data

Latest Articles
10 NOV

Engineering More Reliable Transportation with Machine Learning and AI at Uber

In this article, we highlight how Uber leverages machine learning and artificial intelligence to tackle engineering challenges at scale.

31 OCT

Turbocharging Analytics at Uber with our Data Science Workbench

Uber Engineering's data science workbench (DSW) is an all-in-one toolbox that leverages aggregate data for interactive analytics and machine learning.

17 OCT

Meet Horovod: Uber’s Open Source Distributed Deep Learning Framework for TensorFlow

Uber Engineering introduces Horovod, an open source framework that makes it faster and easier to train deep learning models with TensorFlow.

26 SEP

Engineering Restaurant Manager, our UberEATS Analytics Dashboard

The UberEATS Restaurant Manager gives restaurant partners insight into their business by measuring customer satisfaction, sales, and service quality.

6 SEP

Engineering Uncertainty Estimation in Neural Networks for Time Series Prediction at Uber

Uber Engineering introduces a new Bayesian neural network architecture that more accurately forecasts time series predictions and uncertainty estimations.

5 SEP

Meet Michelangelo: Uber’s Machine Learning Platform

Uber Engineering introduces Michelangelo, our machine learning-as-a-service system that enables teams to easily build, deploy, and operate ML solutions at scale.

31 AUG

Uber’s Ride with the Sun: Tracking the 2017 Solar Eclipse

Uber Engineering’s Data Visualization team uses their deck.gl and Voyager visualization platforms to map rider behavior during the August 21, 2017 solar eclipse.

28 AUG

Engineering Uber’s Self-Driving Car Visualization Platform for the Web

Uber Engineering's Data Visualization Team and ATG built a new web-based platform that helps engineers and operators better understand information collected during testing of its self-driving vehicles.

11 JUL

Engineering Data Analytics with Presto and Parquet at Uber

Snap your fingers and presto! How Uber Engineering built a fast, efficient data analytics system with Presto and Parquet.

9 JUN

Engineering Extreme Event Forecasting at Uber with Recurrent Neural Networks

Recurrent neural networks equip Uber Engineering's new forecasting model to more accurately predict rider demand during extreme events.

4 MAY

Building an Intelligent Experimentation Platform with Uber Engineering

Composed of a staged rollout and intelligent analytics tool, Uber Engineering's experimentation platform is capable of stably deploying new features at scale across our apps. In this article, we discuss the challenges and opportunities we faced when building this product.

6 APR

Open Sourcing deck.gl 4.0: Uber Engineering’s Framework for Advanced Data Visualization

Uber Engineering debuts deck.gl 4.0, the latest version of our open source data visualization framework featuring enhanced geospatial exploration, a re-architected codebase, and more comprehensive documentation.

29 JUN

How Uber Engineering Increases Safe Driving with Telematics

The engineering behind how Uber's Driving Safety team is using telematics to raise awareness of driving patterns to our partners.

3 MAY

Engineering Intelligence Through Data Visualization at Uber

The data visualization team in Uber Engineering delivers intelligence through crafting visual exploratory data analysis tools. Here's what some of these visualizations look like.

29 MAR

Streamific, the Ingestion Service for Hadoop Big Data at Uber Engineering

Here we look at Hadoop data ingestion, and how Uber Engineering streams diverse data into a cohesive layer for querying in near real-time using our in-house developed Streamific.

24 NOV

Identifying Outages with Argos, Uber Engineering’s Real-Time Monitoring and Root-Cause Exploration Tool

The story of Argos: How Uber Engineering provides highly accurate, real-time alerts on millions of system and business metrics in Uber's fast-paced environment.

3 NOV

ETA Phone Home: How Uber Engineers an Efficient Route

How the Uber Map Services Team thought about building our most advanced Routing Engine to date, improving ETAs and powering products like uberPOOL.

22 SEP

Engineer Q&A: Doing Data Science at Uber Engineering

This week, Emi Wang dishes out data knowledge on what she’s been up to at Uber since she joined in September 2012.

18 AUG

The Pulse of a City: How People Move Using Uber Engineering

When do people most frequently request rides? Using Uber Data in 2014, we see how cities around the world have different rhythms of movement. Here's the pulse of New York City, London, Los Angeles, San Francisco, Chicago and Miami.

    Page 1 of 1