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(This article was first published on <strong><a href="http://www.business-science.io/presentations/2017/11/06/earl-boston-2017.html"> business-science.io - Articles</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>The <a rel="nofollow" href="https://earlconf.com/boston/" target="_blank">EARL Boston 2017</a> conference was held November 1 – 3 in Boston, Mass. There were some excellent presentations illustrating how R is being embraced in enterprises, especially in the financial and pharmaceutical industries. Matt Dancho, founder of Business Science, presented on using machine learning to predict and explain employee turnover, a hot topic in HR! We’ve uploaded the <a rel="nofollow" href="https://youtu.be/hcxu2oPlwS0" target="_blank">HR Analytics presentation to YouTube</a>. Check out the presentation, and don’t forget to <a rel="nofollow" href="http://www.business-science.io/presentations/2017/11/06/earl-boston-2017.html#social" target="_blank">follow us on social media</a> to stay up on the latest <em>Business Science</em> news, events and information!</p>
<h1>EARL Boston 2017 Presentation</h1>
<p>If you’re interested in HR Analytics and R applications in business, check out our 30 minute presentation from EARL Boston 2017! We talk about:</p>
<ul>
<li>HR Analytics: Using Machine Learning for Employee Turnover Prediction and Explanation</li>
<li>Using H2O for automated machine learning</li>
<li>Using LIME for feature importance of black-box (non-linear) models such as neural networks, ensembles, and random forests</li>
</ul>
<p>The <a rel="nofollow" href="http://www.business-science.io/business/2017/09/18/hr_employee_attrition.html" target="_blank">code for the tutorial</a> can be found in our HR Analytics article.</p>
<p><iframe allowfullscreen src="https://www.youtube.com/embed/hcxu2oPlwS0" width="100%" align="center" height="500"></iframe></p>
<h1>Download Presentation and Code on GitHub</h1>
<p>The slide deck and code from the EARL Boston 2017 presentation can be downloaded from the <a rel="nofollow" href="https://github.com/business-science/presentations/tree/master/2017_11_05_EARL_Boston_2017" target="_blank">Business Science GitHub site</a>.</p>
<p><img alt="EARL 2017 Presentation" src="https://i1.wp.com/www.business-science.io/assets/earl-boston-2017.PNG?w=456" data-recalc-dims="1"></p>
<p><center><a rel="nofollow" href="https://github.com/business-science/presentations/tree/master/2017_11_05_EARL_Boston_2017" target="_blank">Download the EARL Boston 2017 Presentation Slides!</a></center></p>
<h1>About Business Science <a></a></h1>
<p>Business Science specializes in “ROI-driven data science”. <strong>Our focus is machine learning and data science in business applications. We help businesses that seek to add this competitive advantage but may not have the resources currently to implement predictive analytics</strong>. Business Science works with clients primarily in small to medium size businesses, guiding these organizations in expanding predictive analytics while executing on ROI generating projects. Visit the <a rel="nofollow" href="http://www.business-science.io/" target="_blank">Business Science website</a> or <a rel="nofollow" href="http://www.business-science.io/contact.html" target="_blank">contact us</a> to learn more!</p>
<h1>Follow Business Science on Social Media <a></a></h1>
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<li><a rel="nofollow" href="https://twitter.com/bizScienc" target="_blank">@bizScienc</a> is on <a rel="nofollow" href="https://twitter.com/bizScienc" target="_blank">twitter</a>!</li>
<li>Check us out on <a rel="nofollow" href="https://www.facebook.com/Business-Science-LLC-754699134699054/" target="_blank">Facebook page</a>!</li>
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<li>Sign up for <a rel="nofollow" href="http://www.business-science.io/" target="_blank">our insights blog</a> to stay updated!</li>
<li>If you like our software, <a rel="nofollow" href="https://github.com/business-science" target="_blank">star our GitHub packages</a>!</li>
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