Lunch lecture Uber

Join us for an insightful session representatives from Uber will explore the technical challenges of building large-scale maps, focusing on how we handle incomplete or missing geographic data, and how we translate the data into consumer oriented product features. We’ll discuss the algorithms and data models used to infer missing information, as well as the engineering processes that ensure these inferences are efficiently integrated into the final product. Whether you’re interested in data science, machine learning, or software engineering, this session will provide offer a behind-the-scenes look of how Uber combines technical rigor with user-focused design in digital mapping.

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