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With the solution, I can concentrate on how to improve the data quality to get quality recommendations, so this lets me concentrate on my job rather than focusing on the regular development of APIs or the pipelines, in particular, the data pipelines pulling the data from other sources.

Otherwise, I have to have a developer who knows the API, and I have to have an API app, so all that is completely taken care of by the Microsoft Azure Machine Learning Studio designer. I also like the API feature of the solution which is readily available for me to expose the output to any consuming application, so that takes out a lot of headache. At least it's easy to find the relevant algorithm, apply that algorithm to the data, then get the desired output through Microsoft Azure Machine Learning Studio. Though there's a bit of work during data cleansing, that's normal and can't be avoided. I love that I can use the libraries in Microsoft Azure Machine Learning Studio, so I don't have to search for the algorithms and all the relevant libraries because I can see them directly on the designer just by dragging and dropping. NET code.' 'In terms of what I found most valuable in Microsoft Azure Machine Learning Studio, I especially love the designer because you can just drag and drop items there and apply the logic that's already available with the designer.

This makes it easy for me to understand that model.' 'The solution is easy to use and has good automation capabilities in conjunction with Azure DevOps.' 'It's good for citizen data scientists, but also, other people can use Python or. They also have a feature that can explain the machine learning model. They have an AutoML solution, and their machine learning model is highly accurate.

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