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Dataiku testimonial
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0.16/testimonials/testimonials.html

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longer need to “roll our own” code. <a class="reference external" href="https://www.youtube.com/watch?v=Jm-eBD9xR3w">This PyData 2014 talk</a> has details.</p>
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<span class="testimonial-author"><p>Trent McConaghy, founder, Solido Design Automation Inc.</p>
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<h2><a class="reference external" href="http://www.dataiku.com/">Dataiku</a><a class="headerlink" href="#id20" title="Permalink to this headline"></a></h2>
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<div class="logo"><a class="reference external image-reference" href="http://www.dataiku.com"><img alt="../_images/dataiku_logo.png" src="../_images/dataiku_logo.png" /></a>
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</div><p>Our software, Data Science Studio (DSS), enables users to create data services that combine ETL with Machine Learning. Our Machine Learning module integrates many scikit-learn algorithms.<br />
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The scikit-learn library is a perfect integration with DSS because it offers algorithms for virtually all business cases. Our goal is to offer a transparent and flexible tool that makes it easier to optimize time consuming aspects of building a data service, preparing data, and training machine learning algorithms on all types of data.</p>
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<span class="testimonial-author"><p>Florian Douetteau, CEO, Dataiku</p>
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</span></div>
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dev/testimonials/testimonials.html

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<span class="testimonial-author"><p>Trent McConaghy, founder, Solido Design Automation Inc.</p>
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<h2><a class="reference external" href="http://www.infonea.com/en/">INFONEA</a><a class="headerlink" href="#id20" title="Permalink to this headline"></a></h2>
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<h2><a class="reference external" href="http://www.dataiku.com/">Dataiku</a><a class="headerlink" href="#id20" title="Permalink to this headline"></a></h2>
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<div class="logo"><a class="reference external image-reference" href="http://www.dataiku.com"><img alt="../_images/dataiku_logo.png" src="../_images/dataiku_logo.png" /></a>
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</div><p>Our software, Data Science Studio (DSS), enables users to create data services that combine ETL with Machine Learning. Our Machine Learning module integrates many scikit-learn algorithms.<br />
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The scikit-learn library is a perfect integration with DSS because it offers algorithms for virtually all business cases. Our goal is to offer a transparent and flexible tool that makes it easier to optimize time consuming aspects of building a data service, preparing data, and training machine learning algorithms on all types of data.</p>
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<span class="testimonial-author"><p>Florian Douetteau, CEO, Dataiku</p>
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</span></div>
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<h2><a class="reference external" href="http://www.infonea.com/en/">INFONEA</a><a class="headerlink" href="#id21" title="Permalink to this headline"></a></h2>
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<div class="logo"><a class="reference external image-reference" href="http://www.infonea.com/en"><img alt="../_images/infonea.jpg" src="../_images/infonea.jpg" /></a>
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</div><p>We employ scikit-learn for rapid prototyping and custom-made Data Science
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solutions within our in-memory based Business Intelligence Software

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