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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.

23 October / Global

Higher Education

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

22 October / Global

Engineering, Data / ML, Uber AI

Requirement Adherence: Boosting Data Labeling Quality Using LLMs

21 October / Global

Engineering, Data / ML

Rebuilding Uber’s Apache Pinot™ Query Architecture

16 October / Global

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Cadence Workflow Joins the Cloud Native Computing Foundation

6 October / Global

Higher Education

Campus chaos, resolved: streamlining event transportation with Vouchers

6 October / Global

Higher Education

Campus cravings: exploring the top Uber Eats meals at universities

3 October / Global

Engineering, Mobile

How Uber Standardized Mobile Analytics for Cross-Platform Insights

2 October / Global

Most popular

Engineering, Backend26 August / Global

How Uber Serves over 150 Million Reads per Second from Integrated Cache with Stronger Consistency Guarantees

Higher Education22 October / Global

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

Engineering, Backend28 August / Global

Controlling the Rollout of Large-Scale Monorepo Changes

Engineering, Data / ML23 October / Global

Enabling Deep Model Explainability with Integrated Gradients at Uber

Amsterdam Autumn Joining Bonus

2 October / Netherlands

Using Uber: your guide to the Pace RAP Program

1 October / Global

Engineering, Backend, Data / ML, Uber AI

Uber’s Strategy to Upgrading 2M+ Spark Jobs

25 September / Global

Higher Education

How the University of Illinois streamlines faculty travel with Uber

19 September / Global

Engineering, Data / ML, Security

Adding Determinism and Safety to Uber IAM Policy Changes

18 September / Global

Engineering, Backend, Data / ML

Open-Sourcing Starlark Worker: Define Cadence Workflows with Starlark

11 September / Global

Engineering, Data / ML

Building Uber’s Data Lake: Batch Data Replication Using HiveSync

4 September / Global

Driver products

What is Uber Assist?

29 August / Netherlands

Engineering, Backend

Controlling the Rollout of Large-Scale Monorepo Changes

28 August / Global

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