Day 28 of MLOps Challenge: Cost and Performance Enhancements
๐ Key Learnings
Understand where costs accumulate in the ML lifecycle (data storage, compute, training, inference, monitoring).
Learn performance bottleneck detection in data processing, training, and serving.
Explore cloud-specific cost optimiza...
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