The Age of Machine Learning As Code Has Arrived
This is a foundational shift in ML infrastructure and development practices. ML-as-Code represents a paradigm where machine learning workflows become version-controlled, reproducible code assets rather than black-box experiments—directly impacting how enterprises deploy and scale AI.
Why it ranks · · Published October 2021 on Hugging Face official blog · Oct 18 – 24, 2021
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