OpérAA
Définition
Machine learning operations (MLOPs) is a set of practices that combines developing and maintaining machine learning (ML) seamlessly. The goal is to establish reliable communication and collaboration between data scientists and machine learning operations professionals in order to properly manage and shorten an artificial intelligence (AI) product’s lifecycle. The three main components of MLOps are machine learning, DevOps (IT), and data engineering
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Machine Learning Operations
Contributeurs: Imane Meziani, Patrick Drouin, wiki
