Deployment of MLflow Machine Learning Models | Part 2 | 360DigiTMG
The video is about deploying MLflow machine learning models using Microsoft Azure.
MLflow is a service provided by Microsoft Azure that allows building, training, testing, and deploying machine learning models following MLflow standards.
Azure Machine Learning Studio is used to create and manage machine learning models from an end-to-end perspective.
Creating a resource group is the first step in Microsoft Azure, which helps organize and manage project resources.
MLflow and Azure Machine Learning Service are used to track and monitor machine learning models, and the process involves creating a resource group, starting the machine learning workspace, and using the MLflow library for model training and deployment.
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