Learning Ray is the first and only comprehensive book on Ray and its growing ecosystem. Whether you are new to Ray or looking to go deeper on a specific libraries, this will serve as a helpful resource to jumpstart your learning.
Learning Ray is authored by core members of the Ray engineering team: Max Pumperla, Richard Liaw, and Edward Oakes.
In this book, you’ll learn:
Internal workings of Ray
How to use Ray locally and on a cloud/cluster
Scaling machine learning workloads using Ray
Deep dives on Ray libraries for distributed training, reinforcement learning, hyperparameter tuning, and model serving.