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LyftLearn: ML Model Training Infrastructure built on Kubernetes at Lyft

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@ -702,6 +702,7 @@ An updated and organized reading list for illustrating the patterns of scalable,
* [Distributed Machine Learning](https://www.csie.ntu.edu.tw/~cjlin/talks/bigdata-bilbao.pdf)
* [Aroma: Using ML for Code Recommendation at Facebook](https://code.fb.com/developer-tools/aroma/)
* [Flyte: Cloud Native Machine Learning and Data Processing Platform at Lyft](https://eng.lyft.com/introducing-flyte-cloud-native-machine-learning-and-data-processing-platform-fb2bb3046a59)
* [LyftLearn: ML Model Training Infrastructure built on Kubernetes at Lyft](https://eng.lyft.com/lyftlearn-ml-model-training-infrastructure-built-on-kubernetes-aef8218842bb)
* [Michelangelo: Machine Learning Platform at Uber](https://eng.uber.com/michelangelo/)
* [Scaling Michelangelo](https://eng.uber.com/scaling-michelangelo/)
* [Machine Learning Platform at Yelp](https://engineeringblog.yelp.com/2020/07/ML-platform-overview.html)