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Compute , containers, databases, networking and storage are the building blocks that underpin nearly everything built in the cloud, so it's a good place to start your cross-cloud analysis. Azure Machine Learning has a large library of algorithms from the classification , recommender systems , clustering , anomaly detection , regression , and text analytics families. Microsoft Azure is a smart part of Microsoft that has been working to produce highly compact and high-end solutions for the different needs of the people. It is based on the fact that there is simply no substitute for understanding the principles of each algorithm and the system that generated your data. I recently passed the Microsoft Azure Solutions Architect Expert certification (Az-300 and AZ-301). September 22, 2020 Edwin Young. An appropriate strategy would be to try one algorithm, and if the results are not yet satisfactory, try the others. 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