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Classroom Contents
Ray - A Framework for Scaling and Distributing Python and ML Applications
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- 1 Introduction
- 2 Agenda
- 3 Industry Trends
- 4 Distributed Computing
- 5 Distributed Applications
- 6 Ray Ecosystem
- 7 Ray Internals
- 8 Ray Design Patterns
- 9 The Ray Ecosystem
- 10 Ray Tune
- 11 Ray Tune Search Algorithms
- 12 Hyperparameter Tuning
- 13 Hyperparameter Tuning Challenges
- 14 exhaustive search
- 15 Bayesian optimization
- 16 Early stop
- 17 Sample code
- 18 Worker processes
- 19 XCBoost Ray
- 20 Demo
- 21 Training
- 22 XRBoost Array
- 23 Hyperparameter Training
- 24 Example
- 25 Summary
- 26 Reinforcement Learning
- 27 Ray Community
- 28 Contact Jules
