<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="http://www.r-bloggers.com/how-r-is-used-at-microsoft/"></div></div><div><a data-url="http://www.r-bloggers.com/how-r-is-used-at-microsoft/" data-counturl="http://www.r-bloggers.com/how-r-is-used-at-microsoft/" data-count="horizontal" data-text="How R is used at Microsoft" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2016/07/r-at-microsoft-user-2016.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="http://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>At the useR! conference last month, I was pleased to be able to give a couple of talks about the ways that Microsoft is using and integrating R. In my first talk, <a target="_blank" href="https://channel9.msdn.com/Events/useR-international-R-User-conference/useR2016/Changing-lives-with-Data-Science-at-Microsoft">Hear, See, Move</a>, I shared how data scientists at Microsoft are working to help the disabled:</p>
<p><iframe height="281" allowfullscreen="" width="500" src="https://channel9.msdn.com/Events/useR-international-R-User-conference/useR2016/Changing-lives-with-Data-Science-at-Microsoft/player"></iframe> </p>
<p>During the talk I gave some pointers to some of the underlying technology used to build these applications: <a target="_blank" href="https://www.cntk.ai/">CNTK</a>, the open-source deep learning framework; <a target="_blank" href="https://www.microsoft.com/cognitive-services">Microsoft Cognitive Services</a>, and the suite of machine intelligence APIs including the <a target="_blank" href="https://www.microsoft.com/cognitive-services/en-us/computer-vision-api">Computer Vision API</a>; and <a target="_blank" href="https://www.microsoft.com/cognitive-services/en-us/computer-vision-api">Azure ML Studio</a> (including its integration with R).</p>
<p>My second talk, <a target="_blank" href="https://channel9.msdn.com/Events/useR-international-R-User-conference/useR2016/R-at-Microsoft">R at Microsoft</a>, went more in-depth on the technology side, with a brief overview of the many ways that Microsoft is supporting R and the R Community, and integrating R into data-related products. (The slides from the talk are <a target="_blank" href="http://www.slideshare.net/RevolutionAnalytics/r-at-microsoft-user-2016">available for download here</a>.)</p>
<p><iframe height="281" allowfullscreen="" width="500" src="https://channel9.msdn.com/Events/useR-international-R-User-conference/useR2016/R-at-Microsoft/player"></iframe>  </p>
<p>If you'd like to check out some of the other talks from the conference, you can <a target="_blank" href="https://channel9.msdn.com/Events/useR-international-R-User-conference/useR2016">browse recordings from useR! 2016 here</a>.</p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://blog.revolutionanalytics.com/2016/07/r-at-microsoft-user-2016.html"> Revolutions</a></strong>.</div>
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