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Streamlining ML Projects with MLOPs and Azure ML

Data Science

Streamlining ML Projects with MLOPs and Azure ML

Why do we need to streamline the Machine Learning Projects? During a machine learning project, the phases to be implemented are defined by machine learning workflows. Data collection, preprocessing, dataset building, training and evaluation, and production deployment are the typical phases in a Machine learning project. Users cannot automate all the features, but some aspects of the machine...