Practical Deep Learning at Scale with MLflow: Bridge the gap between offline experimentation and online production - Paperback
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Train, test, run, track, store, tune, deploy, and explain provenance-aware deep learning models and pipelines at scale with reproducibility using MLflow Key Features: