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Prikvačeni tweet
New on the blog today: In October 2019,
@Uber hosted our second annual Moving The World With Data meetup, showcasing some of our most interesting data science challenges in 2019.https://ubere.ng/30ZNyoYHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
We designed the map display of our driver app to be resilient, and always show the most useful information.https://ubere.ng/2H4O0vP
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Zoubin Ghahramani, Head of Uber AI, discusses how we use artificial intelligence techniques to make our platform more efficient for users.https://ubere.ng/2OSQUbf
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Uber's many data flows required modeling the data associated with a specific task, such as a rider trip, into a state machine. The state machine lets engineers focus on just the events needed to successfully accomplish a trip.https://ubere.ng/2KRAJoG
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Just blocks from Times Square and Bryant Park, Uber’s office in midtown Manhattan is home to more than a dozen teams, hundreds of employees (and growing), and a wide variety of engineering roles.https://ubere.ng/2SyqLyM
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The Plato Research Dialogue System enables experts and non-experts alike to quickly build, train, and deploy conversational AI agents.https://ubere.ng/2xOcCBR
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AresDB is Uber's open source real-time analytics engine that leverages GPUs to enable real-time computation and data processing in parallel.https://ubere.ng/2HzMPVK
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We reflect our journey to scaling machine learning at Uber and lessons learned along the way.https://ubere.ng/2QmqTNq
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We spoke to Data Science Director Fran Bell about machine learning at Uber and what she finds most challenging—and rewarding—about her work.https://ubere.ng/2F9dghA
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Visual Inspector for Neuroevolution is an open source interactive data visualization tool to help neuroevolution researchers better understand this family of algorithms.https://ubere.ng/2IxoFHF
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Kraken is an open source peer-to-peer Docker registry capable of distributing terabytes of data in seconds.https://ubere.ng/2TtsYMp
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Horovod, Uber's open source distributed deep learning system, enables NVIDIA to scale model training from one to eight GPUs for their self-driving sensing and perception technologies.https://ubere.ng/2Q3EmNC
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Using GPS and sensor data from Android phones, Uber engineers develop a state model for trips taken by Uber Eats delivery-partners, helping to optimize trip timing for delivery-partners and eaters alike.https://ubere.ng/2ydSpbr
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Uber Engineering proslijedio/la je Tweet
Join us for the first-ever
#PrestoCon hosted by@linuxfoundation on March 24th in the Bay Area! Learn about#prestodb use cases, best practices & learnings from companies like Facebook, Uber, Twitter, Alluxio & more. Early bird reg and CFP now open!https://events.linuxfoundation.org/prestocon/Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Manifold is a visual debugging tool that enables users to quickly identify performance issues in machine learning models.https://ubere.ng/2QsJDxm
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RxCentral is an open source library to reliably and repeatedly connect Bluetooth devices using a platform-agnostic, reactive design.https://ubere.ng/37UnyhU
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To determine if it made sense to adopt Kotlin for our Android monorepo, Uber's Mobile Engineering team measured Kotlin build performance at scale across a variety of project structures.https://ubere.ng/2V3e55b
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Get to know Uber Aarhus Engineering and the work they do behind the scenes to build and maintain our storage and compute platforms.https://ubere.ng/2C2km7B
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Organizations across industries need accurate short-term, tactical forecasts, such as the amount of goods to be ordered and number of employees needed, to keep pace with their growth.https://ubere.ng/2DJv58r
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'Almost every big tech firm has a visualization branch, but I think
@Uber was one of the first to have a strong visualization team in terms of working across different domains (both physical and virtual) and open sourcing our tools.'https://ubere.ng/2GYbvkVHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
In 2019, our engagements with the open hsource community included contributing to projects to joining and founding new open source support organizations.https://ubere.ng/2EGpTQh
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