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This is a book about Microsoft Azure Machine Learning Studio, the browser-based tool for building predictive models without writing much code. It walks through visualizing and preprocessing data, then building classification, regression and clustering models and making predictions. It also covers a basic recommender system, deploying a model as a web service API, and mixing R and Python code into a Studio experiment. It suits analysts and developers new to Azure ML who want a guided, example-led path rather than a reference manual.
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Microsoft Azure Machine Learning teaches you to work with Azure Machine Learning Studio. You use it to visualize and preprocess data.
You build models and make predictions with classification, regression, and clustering algorithms. You also build a basic recommender system.
You deploy your predictive solution as a Web service API. You can integrate R and Python code in a model built with ML Studio. More than one case study is included.
