Learning Ray is authored by core members of the Ray engineering team: Max Pumperla, Richard Liaw, and Edward Oakes.

In this ebook, 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

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