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Engineering, Data / ML

Enabling Deep Model Explainability with Integrated Gradients at Uber

Uber’s ML platform Michelangelo now supports Integrated Gradients, enabling scalable, interpretable deep model explainability across TensorFlow™ and PyTorch™. Learn how this powers trust, debugging, and decision-making throughout the ML life cycle.

October 23 / Global

Higher Education

Game changers: how Lafayette College balances academics and athletics with Uber

October 22 / Global

Engineering, Data / ML, Uber AI

Requirement Adherence: Boosting Data Labeling Quality Using LLMs

October 21 / Global

Engineering, Data / ML

Rebuilding Uber’s Apache Pinot™ Query Architecture

October 16 / Global

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Driver products

Introducing Delay Ride Guarantee

October 16 / US

Introducing digital tasks: a new way to earn

October 16 / US

Earn, Deliver, Delivery products

Coming soon: Tip guarantee for couriers

October 14 / US

New U.S. Uber One benefits—plus tips to manage your membership

October 7 / US

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Higher Education

Campus chaos, resolved: streamlining event transportation with Vouchers

October 6 / Global

Higher Education

Campus cravings: exploring the top Uber Eats meals at universities

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How Uber Standardized Mobile Analytics for Cross-Platform Insights

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Uber’s Strategy to Upgrading 2M+ Spark Jobs

September 25 / Global

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Introducing the Uber Encore Program!

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