MLOps Demystified

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As Machine Learning at an organization matures from research to applied enterprise solutions, there comes the need for automated Machine Learning operations that can efficiently handle the end-to-end ML Lifecycle.

The goal of level 1 MLOps (see figure) is to perform continuous training of the model by automating the entire machine learning pipeline which in turn leads to continuous delivery of prediction service. The underlying concept which empowers the continuous model training is the ability to do data version control along with efficient tracking of training/evaluation events. 

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