<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>marketing on DataScience.LA</title><link>https://datasciencela.github.io/tag/marketing/</link><description>Recent content in marketing on DataScience.LA</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>DataScience.LA, 2014–2021 · Read-only archive: comments are closed.</copyright><lastBuildDate>Tue, 25 Nov 2014 09:47:07 -0800</lastBuildDate><atom:link href="https://datasciencela.github.io/tag/marketing/index.xml" rel="self" type="application/rss+xml"/><item><title>Data Science Meetup - January 13: Data Science @ Datapop</title><link>https://datasciencela.github.io/data-science-meetup-january-13-data-science-datapop/</link><pubDate>Tue, 25 Nov 2014 09:45:53 -0800</pubDate><guid>https://datasciencela.github.io/data-science-meetup-january-13-data-science-datapop/</guid><description>&lt;p&gt;&lt;strong&gt;Data Science @ Datapop: The Marketing Knowledge Graph&lt;/strong&gt;&lt;/p&gt;&#10;&lt;p&gt;&lt;strong&gt;presented by Dr. Ben Zamanzadeh, CTO at &lt;a href="http://www.datapop.com/"&gt;DataPop&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;&#10;&lt;p&gt;Today’s eCommerce has evolved into a complex multi-dimensional optimization problem. DataPop’s semantic technology and Marketing Knowledge Graph is used to generate Omni-Channel advertising campaigns. This presentation will review our technology stack, machine learning models, discuss what worked what did not work for us and do a live demo of Marketing Knowledge Graph.&lt;/p&gt;</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://datasciencela.github.io/data-science-meetup-january-13-data-science-datapop/feature.png"/></item></channel></rss>