<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ml on Share what you know</title><link>https://pablodelgado.org/tags/ml/</link><description>Recent content in Ml on Share what you know</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 15 Jun 2015 12:00:00 +0000</lastBuildDate><atom:link href="https://pablodelgado.org/tags/ml/index.xml" rel="self" type="application/rss+xml"/><item><title>Using data science to create a dining expert</title><link>https://pablodelgado.org/blog/2015/06/15/using-data-science-to-create-a-dining-expert/</link><pubDate>Mon, 15 Jun 2015 12:00:00 +0000</pubDate><guid>https://pablodelgado.org/blog/2015/06/15/using-data-science-to-create-a-dining-expert/</guid><description>&lt;p&gt;We can build expert knowledge of cities with our corpus of unstructured reviews&lt;/p&gt;
&lt;p&gt;OpenTable helps diners find the best dining experiences, wherever they travel. Tastes vary widely between our diners, however, so we need to personalize our recommendations to find restaurants which can provide great dining experiences. Fortunately, we have more than fifteen million unstructured reviews which we can use to build models which improve the accuracy of our recommendations.&lt;/p&gt;</description></item></channel></rss>