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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2018/02/mrclient343.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>An update to <a rel="nofollow" href="https://docs.microsoft.com/en-us/machine-learning-server/r-client/what-is-microsoft-r-client?WT.mc_id=Revolutions-blog-davidsmi" target="_blank">Microsoft R Client</a>, Microsoft's distribution of open source R with additional proprietary packages — including <a rel="nofollow" href="https://docs.microsoft.com/en-us/machine-learning-server/r-reference/revoscaler/revoscaler?WT.mc_id=Revolutions-blog-davidsmi" target="_blank">RevoScaleR</a> (for data analysis at scale) and <a rel="nofollow" href="https://docs.microsoft.com/en-us/machine-learning-server/r-reference/microsoftml/microsoftml-package?WT.mc_id=Revolutions-blog-davidsmi" target="_blank">MicrosoftML</a> (for machine learning) — is now available. <a rel="nofollow" href="https://docs.microsoft.com/en-us/machine-learning-server/r-client/what-is-microsoft-r-client#r-client-whats-new" target="_blank">Microsoft R Client 3.4.3</a> updates the R engine to R 3.4.3, and (on Linux) now supports deploying computations to a remote SQL Server with the <a rel="nofollow" href="https://docs.microsoft.com/en-us/machine-learning-server/r-reference/sqlrutils/sqlrutils" target="_blank">sqlrutils package</a>.</p>
<p><iframe width="450" allowfullscreen="" src="https://channel9.msdn.com/blogs/MicrosoftR/Microsoft-Introduces-new-free-Microsoft-R-Client/player" height="281"></iframe></p>
<p>Microsoft R Client 3.4.3 is free to download and use, and as the video above shows is designed for developing analytical applications that will be deployed to production servers. It works with <a rel="nofollow" href="https://docs.microsoft.com/en-us/machine-learning-server/what-is-machine-learning-server?WT.mc_id=Revolutions-blog-davidsmi" target="_blank">Microsoft Machine Learning Server</a> 9.3, also <a rel="nofollow" href="https://blogs.technet.microsoft.com/machinelearning/2018/02/27/introducing-the-microsoft-machine-learning-server-9-3-release/" target="_blank">released today</a>. You can use Microsoft ML Server to scale your R analysis to data sets of any size or workloads of any intensity: as a server or cluster of servers on premises or in the <a rel="nofollow" href="https://docs.microsoft.com/en-us/machine-learning-server/install/machine-learning-server-in-the-cloud" target="_blank">Azure cloud</a>, or as part of a hybrid architecture with <a rel="nofollow" href="https://docs.microsoft.com/en-us/azure/azure-stack/azure-stack-poc?WT.mc_id=Revolutions-blog-davidsmi" target="_blank">Azure Stack</a>.</p>
<p>For more information on the new capabilities in Microsoft ML Server and Microsoft R Client, take a look at the announcement linked below.</p>
<p>Machine Learning Blog: <a rel="nofollow" href="https://blogs.technet.microsoft.com/machinelearning/2018/02/27/introducing-the-microsoft-machine-learning-server-9-3-release/" target="_blank">Introducing the Microsoft Machine Learning Server 9.3 Release</a></p>
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