Machine Learning Model Development and Model Operations: Principles and Practices

The ML model management and the delivery of highly performing model is as important as the initial build of the model by choosing right dataset. The concepts around model retraining, model versioning, model deployment and model monitoring are the basis for machine learning operations (MLOps) that helps the data science teams deliver highly performing models.

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Machine Learning Model Development and Model Operations: Principles and Practices