<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet href="/feed.rss.xml" type="text/xsl" media="screen"?>
<rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:media="http://search.yahoo.com/mrss/" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Angus Bayley</title>
    <description>@angusbayley</description>
    <link>https://speakerdeck.com/angusbayley</link>
    <atom:link rel="self" type="application/rss+xml" href="https://speakerdeck.com/angusbayley.rss"/>
    <lastBuildDate>2015-09-02 10:02:02 -0400</lastBuildDate>
    <item>
      <title>Text classification with not much text</title>
      <description>A quick overview of GoCardless's attempts to auto-classify users by industry segment - or "vertical" - based on short descriptions they provide about what their business does.

Presented at PyData London on 01 Sept 2015.</description>
      <media:content url="https://files.speakerdeck.com/presentations/73a80c24752948659edaad18b262600a/preview_slide_0.jpg?5195198" type="image/jpeg" medium="image"/>
      <content:encoded>A quick overview of GoCardless's attempts to auto-classify users by industry segment - or "vertical" - based on short descriptions they provide about what their business does.

Presented at PyData London on 01 Sept 2015.</content:encoded>
      <pubDate>Wed, 02 Sep 2015 00:00:00 -0400</pubDate>
      <link>https://speakerdeck.com/angusbayley/text-classification-with-not-much-text</link>
      <guid>https://speakerdeck.com/angusbayley/text-classification-with-not-much-text</guid>
    </item>
  </channel>
</rss>
