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ML Scalability Challenges // Waleed Kadous // MLOps Podcast # 154

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The Importance of Deep Learning in Uber

Uber was using deep learning to improve location quality and we even implemented crazy features like accident detection. We had a separate model for each city in terms of the ETA estimation. And so again, the same kind of themes came up in terms of scalability. I mean, just the huge amount of data that Uber used and it was real world data in a very, very privacy aware way. You know, everyone was opting in. The real time nature of it as well. There was literally looking at millions of signals to look for anomalies. It's just kind of a really fun time because what Uber has done is put machine learning at the edge of digital space.

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