Yuan Tang

Yuan Tang is a founding engineer at Akuity, building an enterprise-ready platform for developers. He has previously led data science and engineering teams at Alibaba and Uptake, focusing on AI infrastructure and AutoML platforms. He’s a project lead of Argo and Kubeflow, a maintainer of TensorFlow and XGBoost, and the author of numerous open source projects. In addition, Yuan has authored three machine learning books and several publications. He’s a regular speaker at various conferences and a technical advisor, leader, and mentor at various organizations.

books by Yuan Tang

Distributed Machine Learning Patterns

  • November 2023
  • ISBN 9781617299025
  • 248 pages
  • printed in black & white
  • Available translations: Korean, Simplified Chinese

Distributed Machine Learning Patterns provides dozens of techniques for designing and deploying distributed machine learning systems. In it, you’ll learn patterns for distributed model training, managing unexpected failures, and dynamic model serving. You’ll appreciate the practical examples that accompany each pattern along with a full-scale project that implements distributed model training and inference with autoscaling on Kubernetes.