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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2016/09/data-science-summit-highlights.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 just got back from Atlanta, the host of the <a target="_blank" href="https://channel9.msdn.com/Events/Machine-Learning-and-Data-Sciences-Conference/Data-Science-Summit-2016">Microsoft Machine Learning and Data Science Summit</a>. This was the first year for this new conference, and it was a blast: the energy from the 1,000 attendees was palpable. I covered <a target="_blank" href="http://blog.revolutionanalytics.com/2016/09/fraud-detection.html">Joseph Sirosh's keynote presentation</a> yesterday, but today I wanted to highlight a few other talks from the program now that the recordings are available to stream.</p>
<p>On deep learning and machine intelligence:</p>
<ul>
<li><a target="_blank" href="https://channel9.msdn.com/Events/Machine-Learning-and-Data-Sciences-Conference/Data-Science-Summit-2016/MSDSS15">CNTK: Microsoft’s Open Source Deep Learning Toolkit</a>, by Frank Seide (CNTK architect), on the engine behind many of Microsoft's AI and predictive services</li>
<li><a target="_blank" href="https://channel9.msdn.com/Events/Machine-Learning-and-Data-Sciences-Conference/Data-Science-Summit-2016/MSDSS08">Cognitive Services: Making AI Easy</a>, by Jennifer Marsman, on emotion detection, sentiment analysis and other intelligence services in Azure</li>
</ul>
<p>On data science techniques and processes:</p>
<ul>
<li><a target="_blank" href="https://channel9.msdn.com/Events/Machine-Learning-and-Data-Sciences-Conference/Data-Science-Summit-2016/MSDSS23">Data Science Doesn’t Just Happen, It Takes a Process. Learn about Ours…</a>, by Jacob Spoelstra and colleagues in the data science team</li>
<li><a target="_blank" href="https://channel9.msdn.com/Events/Machine-Learning-and-Data-Sciences-Conference/Data-Science-Summit-2016/MSDSS02">Data Science for Absolutely Everybody</a>, by Brandon Rohrer</li>
<li><a target="_blank" href="https://channel9.msdn.com/Events/Machine-Learning-and-Data-Sciences-Conference/Data-Science-Summit-2016/MSDSS12">What Is Your Data Science Super Power?</a> Tips and tricks to a successful data science project from Danielle Dean and Wee Hyon Tok</li>
<li><a target="_blank" href="https://channel9.msdn.com/Events/Machine-Learning-and-Data-Sciences-Conference/Data-Science-Summit-2016/MSDSS05">Putting Science into the Business of Data Science</a>, by Rafal Lukawiecki on statistical hypothesis testing for real-world applications</li>
</ul>
<p>On production-scale data analysis with R:</p>
<ul>
<li><a target="_blank" href="https://channel9.msdn.com/Events/Machine-Learning-and-Data-Sciences-Conference/Data-Science-Summit-2016/MSDSS19">Building a Scalable Data Science Platform with R on HDInsight</a>, by Debraj GuhaThakurta</li>
<li><a target="_blank" href="https://channel9.msdn.com/Events/Machine-Learning-and-Data-Sciences-Conference/Data-Science-Summit-2016/MSDSS06">R and Spark as Yin and Yang of Scalable Machine Learning in Azure HDInsight</a>, by Max Lukiyanov</li>
<li><a target="_blank" href="https://channel9.msdn.com/Events/Machine-Learning-and-Data-Sciences-Conference/Data-Science-Summit-2016/MSDSS21">Deep Learning in Microsoft R Server Using MXNet on High-Performance GPUs in the Public Cloud</a>, by Max Kaznady and Tao Wu</li>
<li>and finally, my own talk <a target="_blank" href="https://channel9.msdn.com/Events/Machine-Learning-and-Data-Sciences-Conference/Data-Science-Summit-2016/MSDSS17">See, Hear, Move</a> on applications of data science to help people with disabilities, and how R is used to build such applications within the Microsoft stack.</li>
</ul>
<p>But for me personally, the highlight of the event was the keynote presentation by Dr Edward Tufte on the <a target="_blank" href="https://channel9.msdn.com/Events/Machine-Learning-and-Data-Sciences-Conference/Data-Science-Summit-2016/MSDSS11">Future of Data Analysis</a>. I had the distinct honour of introducing Dr Tufte to the stage, who has long been a hero of mine. Please enjoy his presentation, embedded below.</p>
<p><iframe height="281" allowfullscreen="" width="500" src="https://channel9.msdn.com/Events/Machine-Learning-and-Data-Sciences-Conference/Data-Science-Summit-2016/MSDSS11/player"></iframe></p>
<p>There are many other great talks from the conference available for streaming, too many to mention here. Check out the full program at the link below.</p>
<p>Channel 9: <a target="_blank" href="https://channel9.msdn.com/Events/Machine-Learning-and-Data-Sciences-Conference/Data-Science-Summit-2016">Microsoft Machine Learning &amp; Data Science Summit 2016</a></p>
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