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    <title>topic Re: Machine learning techniques in SAS Event Stream Processing that do not require historical data in Streaming Analytics</title>
    <link>https://communities.sas.com/t5/Streaming-Analytics/Machine-learning-techniques-in-SAS-Event-Stream-Processing-that/m-p/660801#M207</link>
    <description>&lt;P&gt;this is great! thanks for sharing. Other vendors out there like to talk about 'adaptive learning' - ie training the models&amp;nbsp;&lt;EM&gt;as&amp;nbsp;&lt;/EM&gt;you collect the data. To me, this blog is a great explanation of the range of techniques that can be used for adaptive learning.&lt;/P&gt;</description>
    <pubDate>Wed, 17 Jun 2020 05:15:11 GMT</pubDate>
    <dc:creator>JJMajor</dc:creator>
    <dc:date>2020-06-17T05:15:11Z</dc:date>
    <item>
      <title>Machine learning techniques in SAS Event Stream Processing that do not require historical data</title>
      <link>https://communities.sas.com/t5/Streaming-Analytics/Machine-learning-techniques-in-SAS-Event-Stream-Processing-that/m-p/660120#M204</link>
      <description>&lt;P&gt;Check out the Data Science Central article I wrote with my colleague Priya Sharma, &lt;A href="https://www.datasciencecentral.com/profiles/blog/show?id=6448529%3ABlogPost%3A957420" target="_self"&gt;Training with historical data! Surely, you’re joking says the IoT asset that just got connected. &lt;/A&gt;&amp;nbsp;Most AI approaches draw inferences from looking back on the past. We describe eight machine learning approaches in SAS Event Stream Processing that do not require historical data.&lt;/P&gt;
&lt;P&gt;&lt;A href="https://www.datasciencecentral.com/profiles/blog/show?id=6448529%3ABlogPost%3A957420" target="_blank" rel="noopener"&gt;&lt;SPAN class="cta-button-article"&gt;Read It!&lt;/SPAN&gt;&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 16 Jun 2020 17:33:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Streaming-Analytics/Machine-learning-techniques-in-SAS-Event-Stream-Processing-that/m-p/660120#M204</guid>
      <dc:creator>_SaurabhM</dc:creator>
      <dc:date>2020-06-16T17:33:29Z</dc:date>
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    <item>
      <title>Re: Machine learning techniques in SAS Event Stream Processing that do not require historical data</title>
      <link>https://communities.sas.com/t5/Streaming-Analytics/Machine-learning-techniques-in-SAS-Event-Stream-Processing-that/m-p/660801#M207</link>
      <description>&lt;P&gt;this is great! thanks for sharing. Other vendors out there like to talk about 'adaptive learning' - ie training the models&amp;nbsp;&lt;EM&gt;as&amp;nbsp;&lt;/EM&gt;you collect the data. To me, this blog is a great explanation of the range of techniques that can be used for adaptive learning.&lt;/P&gt;</description>
      <pubDate>Wed, 17 Jun 2020 05:15:11 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Streaming-Analytics/Machine-learning-techniques-in-SAS-Event-Stream-Processing-that/m-p/660801#M207</guid>
      <dc:creator>JJMajor</dc:creator>
      <dc:date>2020-06-17T05:15:11Z</dc:date>
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