<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>Azure on Bitfern</title>
    <link>/tags/azure/</link>
    <description>Recent content in Azure on Bitfern</description>
    <generator>Hugo</generator>
    <language>en-nz</language>
    <lastBuildDate>Wed, 27 May 2015 11:11:01 +0000</lastBuildDate>
    <atom:link href="/tags/azure/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Can an AI algorithm win fantasy football?</title>
      <link>/blog/fantasy-football-ai-algorithm/</link>
      <pubDate>Wed, 27 May 2015 11:11:01 +0000</pubDate>
      <guid>/blog/fantasy-football-ai-algorithm/</guid>
      <description>&lt;p&gt;If you’ve heard the term &lt;a href=&#34;http://en.wikipedia.org/wiki/Moneyball&#34;&gt;Moneyball&lt;/a&gt;, then you’ll know that in 2002 the Oakland ‘A’s Major League Baseball team began to use statistical analysis to identify and sign undervalued players, in order to compete against their richer competitors. The approach is credited with getting them to the playoffs in both 2002 and 2003 and has since been adopted more widely.&lt;/p&gt;
&lt;p&gt;In the football world, Brentford FC are reportedly embarking on a similar journey using the &lt;a href=&#34;https://decorrespondent.nl/2607/How-data-not-humans-run-this-Danish-football-club/230219386155-d2948861&#34;&gt;data-driven approach proven at their Danish sister club&lt;/a&gt;.&lt;/p&gt;</description>
    </item>
    <item>
      <title>Intro to HTQL with Python (1)</title>
      <link>/blog/intro-to-htql-with-python/</link>
      <pubDate>Sun, 07 Sep 2014 07:03:11 +0000</pubDate>
      <guid>/blog/intro-to-htql-with-python/</guid>
      <description>&lt;p&gt;HTQL – Hyper-Text Query Language – is a language for querying and extracting content from HTML pages. If SQL is a language to get data from tables within a database, then HTQL is a language to get data from webpages on the internet. It is useful when you need to pull data from the web and there is no web service available to use. An example might be to pull population statistics from Wikipedia.&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
