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0. Architecture Overview
Environment Setup
1. Setup Cloud Environment
2. Environment README
3. Start Docker Environment
Demos
4. Demo Code Layout
5. Explore Services
6. Serve Batch Recommendations
7. Realtime Recommendations
8. Streaming Probabilistic Algos
9. TensorFlow Image Classifier
10. AWS GPU TensorFlow Docker
11. Monitoring Metrics
Active Research (Unstable)
12. More TensorFlow Examples
13. Spark ML Code Generation
14. Spark ML PMML Support
15. Kubernetes Docker Spark ML
Managing Environment
15. Stop and Start Environment
16. Save and Restore Environment
17. Troubleshooting Guide
