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Michelangelo: Machine Learning Platform at Uber

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@ -457,6 +457,7 @@ An updated and curated list of selected readings to illustrate High Scalability,
* [AIOps in Practice at Baidu](https://www.usenix.org/conference/srecon17asia/program/presentation/qu) * [AIOps in Practice at Baidu](https://www.usenix.org/conference/srecon17asia/program/presentation/qu)
* [Scalable Deep Learning Platform on Spark at Baidu](https://www.slideshare.net/JenAman/scalable-deep-learning-platform-on-spark-in-baidu) * [Scalable Deep Learning Platform on Spark at Baidu](https://www.slideshare.net/JenAman/scalable-deep-learning-platform-on-spark-in-baidu)
* [PaddlePaddle Fluid: Elastic Deep Learning on Kubernetes at Baidu](http://research.baidu.com/paddlepaddle-fluid-elastic-deep-learning-kubernetes/) * [PaddlePaddle Fluid: Elastic Deep Learning on Kubernetes at Baidu](http://research.baidu.com/paddlepaddle-fluid-elastic-deep-learning-kubernetes/)
* [Michelangelo: Machine Learning Platform at Uber](https://eng.uber.com/michelangelo/)
* [Horovod: Open Source Distributed Deep Learning Framework for TensorFlow at Uber](https://eng.uber.com/horovod/) * [Horovod: Open Source Distributed Deep Learning Framework for TensorFlow at Uber](https://eng.uber.com/horovod/)
* [COTA: Improving Customer Care with NLP & Machine Learning at Uber](https://eng.uber.com/cota/) * [COTA: Improving Customer Care with NLP & Machine Learning at Uber](https://eng.uber.com/cota/)
* [Repo-Topix: Topic Extraction Framework at Github](https://githubengineering.com/topics/) * [Repo-Topix: Topic Extraction Framework at Github](https://githubengineering.com/topics/)