New Book: Distributed Machine Learning Patterns

[Yuan Tang]

Hi Kubeflow community,

Excited to share that my new book Distributed Machine Learning Patterns is now available on Manning! You can read and pre-order the latest version while it’s being written!

• You’ll explore key concepts and patterns behind successful distributed machine learning systems, and learn technologies like Kubernetes, TensorFlow, Kubeflow, and Argo Workflows directly from a key open source maintainer and contributor. 
• Each pattern is designed to help solve common challenges faced when building distributed machine learning systems, including supporting distributed model training, handling unexpected failures and dynamic model serving traffic.
• Real-world scenarios provide clear examples of how to apply each pattern, alongside the potential trade offs for each approach. You’ll put them all into practice and finish up by building a comprehensive distributed machine learning system.

Please help spread the word and hopefully it’ll be beneficial for your work!

Relevant links:

• Book: https://bit.ly/2RKv8Zo
• GitHub repo that will store code and other references: https://github.com/terrytangyuan/distributed-ml-patterns
• Announcement post on LinkedIn: https://www.linkedin.com/posts/terrytangyuan_distributed-machine-learning-patterns-activity-6808810758219075584-xid_
• Announcement on Twitter: https://twitter.com/TerryTangYuan/status/1403043928069246983?s=20
  

Best,

Yuan Tang

https://terrytangyuan.github.io/about/