<?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 Machine learning algorithms cheat sheet - blog post in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/Machine-learning-algorithms-cheat-sheet-blog-post/m-p/363568#M5422</link>
    <description>&lt;P&gt;Do you often wonder which machine learning algorithm to use? There are a number factors to consider including:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;The size, quality, and nature of data.&lt;/LI&gt;
&lt;LI&gt;The available computational time.&lt;/LI&gt;
&lt;LI&gt;The urgency of the task.&lt;/LI&gt;
&lt;LI&gt;What you want to do with the data.&lt;BR /&gt;&lt;BR /&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;Dr. Hui Li, &lt;SPAN&gt;Principal Staff Scientist of Data Science Technologies at SAS, offers some guidance on which algorithms to try first in the blog post, &lt;STRONG&gt;&lt;A href="http://blogs.sas.com/content/subconsciousmusings/2017/04/12/machine-learning-algorithm-use/#prettyPhoto" target="_blank"&gt;Which machine learning algorithm should I use?&lt;/A&gt;&lt;/STRONG&gt; &lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Give it a read, bookmark and refer to it often.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Here's a helpful flow chart that shows which algorithms to use when:&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;IMG src="https://communities.sas.com/t5/image/serverpage/image-id/9185iADBF934CB709C687/image-size/original?v=1.0&amp;amp;px=-1" border="0" alt="Machine Learning Algorithms Cheat Sheet" title="Machine Learning Algorithms Cheat Sheet" /&gt;&lt;/P&gt;</description>
    <pubDate>Thu, 01 Jun 2017 19:13:15 GMT</pubDate>
    <dc:creator>AnnaBrown</dc:creator>
    <dc:date>2017-06-01T19:13:15Z</dc:date>
    <item>
      <title>Machine learning algorithms cheat sheet - blog post</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Machine-learning-algorithms-cheat-sheet-blog-post/m-p/363568#M5422</link>
      <description>&lt;P&gt;Do you often wonder which machine learning algorithm to use? There are a number factors to consider including:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;The size, quality, and nature of data.&lt;/LI&gt;
&lt;LI&gt;The available computational time.&lt;/LI&gt;
&lt;LI&gt;The urgency of the task.&lt;/LI&gt;
&lt;LI&gt;What you want to do with the data.&lt;BR /&gt;&lt;BR /&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;Dr. Hui Li, &lt;SPAN&gt;Principal Staff Scientist of Data Science Technologies at SAS, offers some guidance on which algorithms to try first in the blog post, &lt;STRONG&gt;&lt;A href="http://blogs.sas.com/content/subconsciousmusings/2017/04/12/machine-learning-algorithm-use/#prettyPhoto" target="_blank"&gt;Which machine learning algorithm should I use?&lt;/A&gt;&lt;/STRONG&gt; &lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Give it a read, bookmark and refer to it often.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Here's a helpful flow chart that shows which algorithms to use when:&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;IMG src="https://communities.sas.com/t5/image/serverpage/image-id/9185iADBF934CB709C687/image-size/original?v=1.0&amp;amp;px=-1" border="0" alt="Machine Learning Algorithms Cheat Sheet" title="Machine Learning Algorithms Cheat Sheet" /&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 01 Jun 2017 19:13:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Machine-learning-algorithms-cheat-sheet-blog-post/m-p/363568#M5422</guid>
      <dc:creator>AnnaBrown</dc:creator>
      <dc:date>2017-06-01T19:13:15Z</dc:date>
    </item>
    <item>
      <title>Re: Machine learning algorithms cheat sheet - blog post</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Machine-learning-algorithms-cheat-sheet-blog-post/m-p/374029#M5559</link>
      <description>&lt;P&gt;This is a great cheat sheet. &amp;nbsp; Thank you for posting it!&lt;/P&gt;</description>
      <pubDate>Fri, 07 Jul 2017 17:04:31 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Machine-learning-algorithms-cheat-sheet-blog-post/m-p/374029#M5559</guid>
      <dc:creator>DougWielenga</dc:creator>
      <dc:date>2017-07-07T17:04:31Z</dc:date>
    </item>
  </channel>
</rss>

