<?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 &amp;quot;Ask the Expert” webinar on April 4th, 10 AM – 11 AM ET in Mathematical Optimization, Discrete-Event Simulation, and OR</title>
    <link>https://communities.sas.com/t5/Mathematical-Optimization/quot-Ask-the-Expert-webinar-on-April-4th-10-AM-11-AM-ET/m-p/865716#M3856</link>
    <description>&lt;P&gt;Hi SAS Optimization Community,&lt;/P&gt;
&lt;P&gt;I’m presenting a live “Ask the Expert” webinar on April 4&lt;SUP&gt;th&lt;/SUP&gt;, 10 AM – 11 AM ET entitled &lt;STRONG&gt;&lt;EM&gt;Composite AI Using Machine Learning in Optimization Formulations. &lt;/EM&gt;&lt;/STRONG&gt;I’ll show you how the 'runOptmodel' action in SAS Optimization can be used to embed ML models as constraints/objective function in an optimization formulation&lt;SPAN&gt;. Bring your questions. I’ll &lt;/SPAN&gt;host a live Q&amp;amp;A session at the end of the webinar.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You will learn:&lt;/P&gt;
&lt;UL&gt;
&lt;LI data-leveltext="" data-font="Symbol" data-listid="13" data-list-defn-props="{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559684&amp;quot;:-2,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}" aria-setsize="-1" data-aria-posinset="1" data-aria-level="1"&gt;&lt;SPAN data-contrast="none"&gt;&lt;SPAN&gt;How to &lt;/SPAN&gt;&lt;SPAN&gt;embed&lt;/SPAN&gt;&lt;SPAN&gt; Machine Learning&lt;/SPAN&gt;&lt;SPAN&gt; models &lt;/SPAN&gt;&lt;SPAN&gt;in&lt;/SPAN&gt; &lt;SPAN&gt;the &lt;/SPAN&gt;&lt;SPAN&gt;constraints and &lt;/SPAN&gt;&lt;SPAN&gt;the &lt;/SPAN&gt;&lt;SPAN&gt;objective function &lt;/SPAN&gt;&lt;SPAN&gt;of an&lt;/SPAN&gt;&lt;SPAN&gt; optimization&lt;/SPAN&gt;&lt;SPAN&gt; model&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN data-ccp-props="{&amp;quot;201341983&amp;quot;:0,&amp;quot;335559739&amp;quot;:0,&amp;quot;335559740&amp;quot;:204}"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI data-leveltext="" data-font="Symbol" data-listid="13" data-list-defn-props="{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559684&amp;quot;:-2,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}" aria-setsize="-1" data-aria-posinset="2" data-aria-level="1"&gt;&lt;SPAN data-contrast="none"&gt;&lt;SPAN&gt;How to tune &lt;/SPAN&gt;&lt;SPAN&gt;the Blackbox solver in SAS Optimization&lt;/SPAN&gt;&lt;SPAN&gt; to &lt;/SPAN&gt;&lt;SPAN&gt;converge to a&lt;/SPAN&gt;&lt;SPAN&gt; near optimal solution&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN data-ccp-props="{&amp;quot;201341983&amp;quot;:0,&amp;quot;335559739&amp;quot;:0,&amp;quot;335559740&amp;quot;:204}"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI data-leveltext="" data-font="Symbol" data-listid="13" data-list-defn-props="{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559684&amp;quot;:-2,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}" aria-setsize="-1" data-aria-posinset="3" data-aria-level="1"&gt;&lt;SPAN data-contrast="none"&gt;&lt;SPAN&gt;How to call&lt;/SPAN&gt;&lt;SPAN&gt; CASL scripts &lt;/SPAN&gt;&lt;SPAN&gt;to compute values for &lt;/SPAN&gt;&lt;SPAN&gt;the&lt;/SPAN&gt; &lt;SPAN&gt;constraints and &lt;/SPAN&gt;&lt;SPAN&gt;the &lt;/SPAN&gt;&lt;SPAN&gt;o&lt;/SPAN&gt;&lt;SPAN&gt;bjective function&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN data-ccp-props="{&amp;quot;201341983&amp;quot;:0,&amp;quot;335559739&amp;quot;:0,&amp;quot;335559740&amp;quot;:204}"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI data-leveltext="" data-font="Symbol" data-listid="13" data-list-defn-props="{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559684&amp;quot;:-2,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}" aria-setsize="-1" data-aria-posinset="4" data-aria-level="1"&gt;&lt;SPAN data-contrast="none"&gt;&lt;SPAN&gt;The b&lt;/SPAN&gt;&lt;SPAN&gt;enefits of using Machine Learning &lt;/SPAN&gt;&lt;SPAN&gt;vs linear models&lt;/SPAN&gt;&lt;SPAN&gt; and how they compare in terms of accuracy&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;A href="https://www.sas.com/gms/redirect.jsp?detail=PLN4313_781989173" target="_blank"&gt;Reserve your spot&lt;/A&gt; for the webinar.&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Want more tips? Be sure to subscribe to the&amp;nbsp;&lt;A href="http://communities.sas.com/askexpert" target="_blank"&gt;Ask the Expert board&lt;/A&gt;&amp;nbsp;to receive follow up Q&amp;amp;A, slides and recordings from this and other SAS Ask the Expert webinars.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Can't join the live event? You can view this and other&amp;nbsp;&lt;A href="http://support.sas.com/training/askexpert.html" target="_blank"&gt;Ask the Expert sessions on-demand here.&lt;/A&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 22 Mar 2023 12:39:31 GMT</pubDate>
    <dc:creator>nabaruna</dc:creator>
    <dc:date>2023-03-22T12:39:31Z</dc:date>
    <item>
      <title>"Ask the Expert” webinar on April 4th, 10 AM – 11 AM ET</title>
      <link>https://communities.sas.com/t5/Mathematical-Optimization/quot-Ask-the-Expert-webinar-on-April-4th-10-AM-11-AM-ET/m-p/865716#M3856</link>
      <description>&lt;P&gt;Hi SAS Optimization Community,&lt;/P&gt;
&lt;P&gt;I’m presenting a live “Ask the Expert” webinar on April 4&lt;SUP&gt;th&lt;/SUP&gt;, 10 AM – 11 AM ET entitled &lt;STRONG&gt;&lt;EM&gt;Composite AI Using Machine Learning in Optimization Formulations. &lt;/EM&gt;&lt;/STRONG&gt;I’ll show you how the 'runOptmodel' action in SAS Optimization can be used to embed ML models as constraints/objective function in an optimization formulation&lt;SPAN&gt;. Bring your questions. I’ll &lt;/SPAN&gt;host a live Q&amp;amp;A session at the end of the webinar.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You will learn:&lt;/P&gt;
&lt;UL&gt;
&lt;LI data-leveltext="" data-font="Symbol" data-listid="13" data-list-defn-props="{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559684&amp;quot;:-2,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}" aria-setsize="-1" data-aria-posinset="1" data-aria-level="1"&gt;&lt;SPAN data-contrast="none"&gt;&lt;SPAN&gt;How to &lt;/SPAN&gt;&lt;SPAN&gt;embed&lt;/SPAN&gt;&lt;SPAN&gt; Machine Learning&lt;/SPAN&gt;&lt;SPAN&gt; models &lt;/SPAN&gt;&lt;SPAN&gt;in&lt;/SPAN&gt; &lt;SPAN&gt;the &lt;/SPAN&gt;&lt;SPAN&gt;constraints and &lt;/SPAN&gt;&lt;SPAN&gt;the &lt;/SPAN&gt;&lt;SPAN&gt;objective function &lt;/SPAN&gt;&lt;SPAN&gt;of an&lt;/SPAN&gt;&lt;SPAN&gt; optimization&lt;/SPAN&gt;&lt;SPAN&gt; model&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN data-ccp-props="{&amp;quot;201341983&amp;quot;:0,&amp;quot;335559739&amp;quot;:0,&amp;quot;335559740&amp;quot;:204}"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI data-leveltext="" data-font="Symbol" data-listid="13" data-list-defn-props="{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559684&amp;quot;:-2,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}" aria-setsize="-1" data-aria-posinset="2" data-aria-level="1"&gt;&lt;SPAN data-contrast="none"&gt;&lt;SPAN&gt;How to tune &lt;/SPAN&gt;&lt;SPAN&gt;the Blackbox solver in SAS Optimization&lt;/SPAN&gt;&lt;SPAN&gt; to &lt;/SPAN&gt;&lt;SPAN&gt;converge to a&lt;/SPAN&gt;&lt;SPAN&gt; near optimal solution&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN data-ccp-props="{&amp;quot;201341983&amp;quot;:0,&amp;quot;335559739&amp;quot;:0,&amp;quot;335559740&amp;quot;:204}"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI data-leveltext="" data-font="Symbol" data-listid="13" data-list-defn-props="{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559684&amp;quot;:-2,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}" aria-setsize="-1" data-aria-posinset="3" data-aria-level="1"&gt;&lt;SPAN data-contrast="none"&gt;&lt;SPAN&gt;How to call&lt;/SPAN&gt;&lt;SPAN&gt; CASL scripts &lt;/SPAN&gt;&lt;SPAN&gt;to compute values for &lt;/SPAN&gt;&lt;SPAN&gt;the&lt;/SPAN&gt; &lt;SPAN&gt;constraints and &lt;/SPAN&gt;&lt;SPAN&gt;the &lt;/SPAN&gt;&lt;SPAN&gt;o&lt;/SPAN&gt;&lt;SPAN&gt;bjective function&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN data-ccp-props="{&amp;quot;201341983&amp;quot;:0,&amp;quot;335559739&amp;quot;:0,&amp;quot;335559740&amp;quot;:204}"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI data-leveltext="" data-font="Symbol" data-listid="13" data-list-defn-props="{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559684&amp;quot;:-2,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}" aria-setsize="-1" data-aria-posinset="4" data-aria-level="1"&gt;&lt;SPAN data-contrast="none"&gt;&lt;SPAN&gt;The b&lt;/SPAN&gt;&lt;SPAN&gt;enefits of using Machine Learning &lt;/SPAN&gt;&lt;SPAN&gt;vs linear models&lt;/SPAN&gt;&lt;SPAN&gt; and how they compare in terms of accuracy&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;A href="https://www.sas.com/gms/redirect.jsp?detail=PLN4313_781989173" target="_blank"&gt;Reserve your spot&lt;/A&gt; for the webinar.&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Want more tips? Be sure to subscribe to the&amp;nbsp;&lt;A href="http://communities.sas.com/askexpert" target="_blank"&gt;Ask the Expert board&lt;/A&gt;&amp;nbsp;to receive follow up Q&amp;amp;A, slides and recordings from this and other SAS Ask the Expert webinars.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Can't join the live event? You can view this and other&amp;nbsp;&lt;A href="http://support.sas.com/training/askexpert.html" target="_blank"&gt;Ask the Expert sessions on-demand here.&lt;/A&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 22 Mar 2023 12:39:31 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Mathematical-Optimization/quot-Ask-the-Expert-webinar-on-April-4th-10-AM-11-AM-ET/m-p/865716#M3856</guid>
      <dc:creator>nabaruna</dc:creator>
      <dc:date>2023-03-22T12:39:31Z</dc:date>
    </item>
  </channel>
</rss>

