June 6, 2023, 10:06 a.m. | Phylis Jepchumba

DEV Community dev.to




Introduction:


In the dynamic realm of data science and machine learning, the introduction of MLOps (Machine Learning Operations) has addressed critical challenges that plagued the management and deployment of machine learning models in the past. Before MLOps, data scientists and organizations faced a range of obstacles that hindered model performance and efficiency.

Lets explore this scenario;


Picture a data science team developing a sophisticated machine learning model to predict fraudulent transactions for a banking institution. The model exhibits impressive accuracy …

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