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"Azure ML Studio is an efficient environment for Machine Learning Experiments"
What do you like best about Azure Machine Learning?
Azure Machine Learning Studio is an efficient environment to launch and monitor machine learning jobs and experiments. It is easy to use and implement jobs with integrated VS Code, Jupyter Lab, and Terminal.
The UI is intuitive with a number of features like Job Overview, Metrics, Docker Images, Log view, Explanations, Model Monitoring and Code Files containing the model settings.
As my frequency of use is daily I leverage the code and log features to assess the model settings and warning/info logs in runtime.
The customer support for Azure Stack is awesome with proper documentations and community support. Review collected by and hosted on G2.com.
What do you dislike about Azure Machine Learning?
The lack of metric support and cascading of jobs is missing, which I would like in Azure ML. Also a few flows are non-intuitive including the back from compute to Jobs. Review collected by and hosted on G2.com.
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