<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: Can you beat Zencos' machine learning model? Basketball Madness competition is ON! in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/Can-you-beat-Zencos-machine-learning-model-Basketball-Madness/m-p/445340#M6805</link>
    <description>&lt;P&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/33307"&gt;@AnnaBrown&lt;/a&gt;: Zencos didn't show what their machine learning model predicted, but I'd be surprised if a machine learning model can produce a better bracket then any of us doing it manually.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The one advantage it has is that it doesn't automatically select alma maters which I, of course, simply have to do (GO MARSHALL and GO MICHIGAN STATE).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Will be interesting to see what their model predicted.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Art, CEO, AnalystFinder.com&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Tue, 13 Mar 2018 22:12:55 GMT</pubDate>
    <dc:creator>art297</dc:creator>
    <dc:date>2018-03-13T22:12:55Z</dc:date>
    <item>
      <title>Can you beat Zencos' machine learning model? Basketball Madness competition is ON!</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Can-you-beat-Zencos-machine-learning-model-Basketball-Madness/m-p/445308#M6804</link>
      <description>&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-right" image-alt="bracket(1)_684_500.PNG" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/19173iE468B777683E675E/image-size/medium?v=v2&amp;amp;px=400" role="button" title="bracket(1)_684_500.PNG" alt="bracket(1)_684_500.PNG" /&gt;&lt;/span&gt;If you're&amp;nbsp;US college&amp;nbsp;basketball fan and run machine learning models for your job (or for fun), you'll be into the first-ever Zencos challenge for the NCAA tournament. Think your bracket can beat Abe Lincoln, an ensemble model using SAS Enterprise Miner and&amp;nbsp;Zencos' &lt;A href="https://communities.sas.com/t5/user/viewprofilepage/user-id/147509" target="_blank"&gt;Chris St. Jeor?&lt;/A&gt;&amp;nbsp;Then submit it to the Zencos Madness Tournament Challenge through ESPN.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Check out this blog post for details:&amp;nbsp;&lt;STRONG&gt;&lt;A href="https://www.zencos.com/blog/the-madness-begins-can-you-beat-out-machine-learning-model/" target="_blank"&gt;The Madness Begins: Can You Beat Our Machine Learning Model?&lt;/A&gt;&lt;/STRONG&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 13 Mar 2018 20:47:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Can-you-beat-Zencos-machine-learning-model-Basketball-Madness/m-p/445308#M6804</guid>
      <dc:creator>AnnaBrown</dc:creator>
      <dc:date>2018-03-13T20:47:33Z</dc:date>
    </item>
    <item>
      <title>Re: Can you beat Zencos' machine learning model? Basketball Madness competition is ON!</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Can-you-beat-Zencos-machine-learning-model-Basketball-Madness/m-p/445340#M6805</link>
      <description>&lt;P&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/33307"&gt;@AnnaBrown&lt;/a&gt;: Zencos didn't show what their machine learning model predicted, but I'd be surprised if a machine learning model can produce a better bracket then any of us doing it manually.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The one advantage it has is that it doesn't automatically select alma maters which I, of course, simply have to do (GO MARSHALL and GO MICHIGAN STATE).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Will be interesting to see what their model predicted.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Art, CEO, AnalystFinder.com&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 13 Mar 2018 22:12:55 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Can-you-beat-Zencos-machine-learning-model-Basketball-Madness/m-p/445340#M6805</guid>
      <dc:creator>art297</dc:creator>
      <dc:date>2018-03-13T22:12:55Z</dc:date>
    </item>
    <item>
      <title>Re: Can you beat Zencos' machine learning model? Basketball Madness competition is ON!</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Can-you-beat-Zencos-machine-learning-model-Basketball-Madness/m-p/445474#M6807</link>
      <description>&lt;P&gt;Great point,&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13711"&gt;@art297&lt;/a&gt;. Bias can get the best of us, can't it? GO PACK!&amp;nbsp;Though I am realistic. &lt;span class="lia-unicode-emoji" title=":slightly_smiling_face:"&gt;🙂&lt;/span&gt; &lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/147509"&gt;@cstjeor1&lt;/a&gt;&amp;nbsp;and&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/10923"&gt;@Mike_Drutar&lt;/a&gt;&amp;nbsp;will appreciate this.&lt;/P&gt;</description>
      <pubDate>Wed, 14 Mar 2018 13:32:10 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Can-you-beat-Zencos-machine-learning-model-Basketball-Madness/m-p/445474#M6807</guid>
      <dc:creator>AnnaBrown</dc:creator>
      <dc:date>2018-03-14T13:32:10Z</dc:date>
    </item>
    <item>
      <title>Re: Can you beat Zencos' machine learning model? Basketball Madness competition is ON!</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Can-you-beat-Zencos-machine-learning-model-Basketball-Madness/m-p/445479#M6808</link>
      <description>&lt;P&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13711"&gt;@art297&lt;/a&gt;&amp;nbsp;you should be happy to know that Abe Lincoln (the bracket filled out by random flips of a coin) has Marshall making it all the way to the elite eight!&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;For anyone that want's to participate in the Zencos' Tournament Challenge&amp;nbsp;can submit their bracket here:&lt;/P&gt;&lt;P&gt;&lt;A href="http://games.espn.com/tournament-challenge-bracket/2018/en/group?groupID=2316763" target="_blank"&gt;http://games.espn.com/tournament-challenge-bracket/2018/en/group?groupID=2316763&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;The three brackets featured in this year's turnament (The Human, The Machine, and Abe Lincoln) will be revealed Thursday at tip-off!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 14 Mar 2018 13:48:40 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Can-you-beat-Zencos-machine-learning-model-Basketball-Madness/m-p/445479#M6808</guid>
      <dc:creator>cstjeor1</dc:creator>
      <dc:date>2018-03-14T13:48:40Z</dc:date>
    </item>
  </channel>
</rss>

