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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2018/04/the-case-for-r-for-ai-developers.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>I had a great time this week at the <a rel="nofollow" href="https://qcon.ai/" target="_blank">Qcon.ai conference</a> in San Francisco, where I had the pleasure of presenting to an audience of mostly Java and Python developers. It's unfortunate that videos won't be available for a while, because there were some amazing presentations: those by <a rel="nofollow" href="https://qcon.ai/qconai2018/speakers/matt-ranney" target="_blank">Matt Ranney</a>, <a rel="nofollow" href="https://qcon.ai/qconai2018/presentation/interpretable-machine-learning-products" target="_blank">Mike Williams</a> and <a rel="nofollow" href="https://qcon.ai/qconai2018/speakers/rachel-thomas" target="_blank">Rachel Thomas</a> were particular standouts.</p>
<p>My goal for the <a rel="nofollow" href="https://www.slideshare.net/RevolutionAnalytics/the-case-for-r-for-ai-developers" target="_blank">presentation I gave</a> was to encourage developers to take a look at R (and its community) for developing AI applications, and in particular to bring a statistical perspective to data, inference and prediction as used by AI applications:</p>
<p><iframe allowfullscreen="" src="http://www.slideshare.net/slideshow/embed_code/key/IZPdhzo4uCwyLH" width="450" height="420"> </iframe></p>
<p>I also delivered a workshop on using R to interface with a couple of the Cognitive Services vision APIs, to <a rel="nofollow" href="http://blog.revolutionanalytics.com/2018/03/computer-vision-api.html" target="_blank">generate captions from random images in Wikipedia</a>, and to <a rel="nofollow" href="http://blog.revolutionanalytics.com/2018/04/not-hotdog.html" target="_blank">train a custom image recognizer with images of hotdogs</a>. The workshop is <a rel="nofollow" href="https://notebooks.azure.com/davidsmi/libraries/qcon" target="_blank">hosted as a Jupyter Notebook</a>, so it's easy to try out yourself — all you need is a browser. You can find all the files and instructions at the link below.</p>
<p>Azure Notebooks: <a rel="nofollow" href="https://notebooks.azure.com/davidsmi/libraries/qcon" target="_blank">AI for R users</a> </p>
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