Snacks Weekly on Data Science

Predicting Estimated Time of Arrival (ETA) Reliability [Lyft]


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In this episode, we will discuss the importance of ETA for ridesharing apps and the challenges of providing a reliable ETA to users upfront. We delved into the practices of the machine learning team at Lyft, examining how they developed a solution to address this unique challenge using a lightweight machine learning model.

For more details, you can refer to their published tech blog, linked here for your reference: https://eng.lyft.com/eta-estimated-time-of-arrival-reliability-at-lyft-d4ca2720bda8

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Snacks Weekly on Data ScienceBy Pan Wu

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