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Machine Learning (2 parts) at Condé Nast

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@ -296,6 +296,7 @@ A curated list of selected readings to illustrate Scalability, Availability, and
* [PaddlePaddle Fluid: Elastic Deep Learning on Kubernetes at Baidu](http://research.baidu.com/paddlepaddle-fluid-elastic-deep-learning-kubernetes/)
* [Training ML Models with Airflow and BigQuery at WePay](https://wecode.wepay.com/posts/training-machine-learning-models-with-airflow-and-bigquery)
* [Improving Photo Selection With Deep Learning at TripAdvisor](http://engineering.tripadvisor.com/improving-tripadvisor-photo-selection-deep-learning/)
* [Machine Learning (2 parts) at Condé Nast](https://technology.condenast.com/story/handbag-brand-and-color-detection)
* [Distributed Architecture in Financial Systems](https://medium.com/@sofie_4036/lets-build-a-bank-service-architecture-410dca881291)
* [Building a Modern Bank Backend at Monzo](https://monzo.com/blog/2016/09/19/building-a-modern-bank-backend/)
* [Choosing an Architecture for Core Banking System at TrustBK](https://blog.trustbk.com/choosing-an-architecture-85750e1e5a03)