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Module 1
Workload
1
e Recommendation system pattern with Ray Train
2
Imports
3
Define matrix factorization model
4
Define Ray Train loop (with validation, checkpointing, and Ray-managed metrics)
5
Resume training from checkpoint
6
Inference: recommend top-N items for a user
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