How Uber Uses Dask
2 engineering articles about Dask from Uber's engineering team
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The article discusses the integration of Elastic Distributed Training with XGBoost on Ray, highlighting how this approach addresses challenges in distributed machine learning at scale.
Michael Mui, Xu Ning, Kai Fricke, Amog Kamsetty, Richard Liaw
19 min read
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The article discusses the integration of Elastic Horovod with Ray, focusing on how this combination enhances distributed deep learning training by enabling autoscaling and fault tolerance.
ApacheApache SparkAutoMLAWSAzureDaskDeep LearningKubernetesMachine LearningModinPandasPyTorchXGBoost
Travis Addair, Xu Ning, Richard Liaw
15 min read
Includes Code
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