ADVANCED • Time Series and NLP
Data Pipeline Drill for personalized recommendation prototype #16
This lesson focuses on optimize inference latency using a practical personalized recommendation prototype scenario. You will apply commands: fastapi | pip install mlflow | optimizer.step(). The code example demonstrates a concrete workflow aligned with this lesson objective, not generic filler.
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