Sep 23–26, 2019
Nan Zhu

Nan Zhu
Software Engineer, Uber

Nan Zhu is a software engineer in Uber. He works on optimizing Apache Spark for Uber scenarios and scaling XGBoost in the machine learning platform of Uber. Nan has been the committee member of XGBoost since 2016. He started project XGBoost4J-Spark integrating XGBoost and Spark as well as fast histogram algorithm in distributed training.


2:05pm2:45pm Wednesday, September 25, 2019
Location: 1A 08/10
Secondary topics:  Deep dive into specific tools, platforms, or frameworks, Transportation and Logistics
Nan Zhu (Uber), Felix Cheung (Uber)
XGBoost has been widely deployed in companies across the industry. This talk begins with introducing the internals of distributed training in XGBoost and then demonstrate how XGBoost resolves the business problem in Uber with a scale to thousands of workers and 10s of TB training data. Read more.

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