From 86776700efa44c08256097dc3301568116b8b429 Mon Sep 17 00:00:00 2001 From: Binh Nguyen Date: Tue, 25 Jan 2022 19:30:38 +0800 Subject: [PATCH] Machine Learning Platform at Etsy --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index e115974..24443c6 100644 --- a/README.md +++ b/README.md @@ -715,12 +715,12 @@ An updated and organized reading list for illustrating the patterns of scalable, * [Scaling the Hadoop Distributed File System at LinkedIn](https://engineering.linkedin.com/blog/2021/the-exabyte-club--linkedin-s-journey-of-scaling-the-hadoop-distr) * [Scaling Hadoop YARN cluster beyond 10,000 nodes at LinkedIn](https://engineering.linkedin.com/blog/2021/scaling-linkedin-s-hadoop-yarn-cluster-beyond-10-000-nodes) * [Distributed Machine Learning](https://www.csie.ntu.edu.tw/~cjlin/talks/bigdata-bilbao.pdf) + * [Machine Learning Platform at Uber](https://eng.uber.com/michelangelo/) + * [Machine Learning Platform at Etsy](https://codeascraft.com/2021/12/21/redesigning-etsys-machine-learning-platform/) + * [Machine Learning Platform at Yelp](https://engineeringblog.yelp.com/2020/07/ML-platform-overview.html) * [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) * [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/) * [Manifold: Model-Agnostic Visual Debugging Tool for Machine Learning at Uber](https://eng.uber.com/manifold/)