Scalable Data Science with R on HDInsight Presented at the 2016 Microsoft Data Science Summit

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How you can efficiently use the Microsoft R Server (MRS) running on Hadoop HDInsight clusters to build scalable data analytics processes? Our talk "Building a Scalable Data Science Platform with R on HDInsight", at the Microsoft Machine Learning Data Science Summit will present the benefits of using MRS, and how to build machine learning models using MRS running on Azure HDInsight clusters and deploy those models using Azure ML services." Is this text sufficient, or we need more?





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