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Long-term Forecasts at Lyft

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[![Logo](/logo.png)](http://backendhub.com/)
[![Logo](/logo.png)](https://binhnguyennus.github.io/awesome-scalability/)
An updated and organized reading list for illustrating the patterns of scalable, reliable, and performant large-scale systems. Concepts are explained in the articles of prominent engineers and credible references. Case studies are taken from battle-tested systems that serve millions to billions of users.
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* [Neural Architecture Search (NAS) for Prohibited Item Detection at Mercari](https://tech.mercari.com/entry/2019/04/26/163000)
* [Computer Vision at Airbnb](https://medium.com/airbnb-engineering/amenity-detection-and-beyond-new-frontiers-of-computer-vision-at-airbnb-144a4441b72e)
* [3D Home Backend Algorithms at Zillow](https://www.zillow.com/engineering/behind-zillow-3d-home-backend-algorithms/)
* [Long-term Forecasts at Lyft](https://eng.lyft.com/making-long-term-forecasts-at-lyft-fac475b3ba52)
## Architecture
* [Systems We Make](https://systemswemake.com/)