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    <title>topic Bayesian Optimisation 5 Minutes Demo in Israel JMP Users -  קבוצת משתמשים - ישראל</title>
    <link>https://community.jmp.com/t5/Israel-JMP-Users-%D7%A7%D7%91%D7%95%D7%A6%D7%AA-%D7%9E%D7%A9%D7%AA%D7%9E%D7%A9%D7%99%D7%9D/Bayesian-Optimisation-5-Minutes-Demo/m-p/911482#M91</link>
    <description>&lt;P&gt;&lt;SPAN&gt;Bayesian Optimization, aka BayesOpt, is a new platform coming to JMP Pro 19. With it, you&amp;nbsp;can use your existing data to fit a model and then use that model to intelligently decide where to sample next.&amp;nbsp;These new observations are used to update the model and find even better samples. This process can start with a minimal number of runs, which means wasting fewer resources on suboptimal samples and spending more time exploring new opportunities.&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&lt;div class="lia-vid-container video-embed-center"&gt;&lt;div id="lia-vid-6384560349112w864h540r777" class="lia-video-brightcove-player-container"&gt;&lt;video-js data-video-id="6384560349112" data-account="6058004218001" data-player="default" data-embed="default" class="vjs-fluid" controls="" data-application-id="" style="width: 100%; height: 100%;"&gt;&lt;/video-js&gt;&lt;/div&gt;&lt;script src="https://players.brightcove.net/6058004218001/default_default/index.min.js"&gt;&lt;/script&gt;&lt;script&gt;(function() {  var wrapper = document.getElementById('lia-vid-6384560349112w864h540r777');  var videoEl = wrapper ? wrapper.querySelector('video-js') : null;  if (videoEl) {     if (window.videojs) {       window.videojs(videoEl).ready(function() {         this.on('loadedmetadata', function() {           this.el().querySelectorAll('.vjs-load-progress div[data-start]').forEach(function(bar) {             bar.setAttribute('role', 'presentation');             bar.setAttribute('aria-hidden', 'true');           });         });       });     }  }})();&lt;/script&gt;&lt;a class="video-embed-link" href="https://community.jmp.com/t5/video/gallerypage/video-id/6384560349112"&gt;(view in My Videos)&lt;/a&gt;&lt;/div&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;More resources:&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;- Developer Tutorial:&amp;nbsp;&lt;A href="https://community.jmp.com/t5/Learn-JMP-Events/Developer-Tutorial-Bayesian-Optimization/ev-p/894910" target="_blank"&gt;https://community.jmp.com/t5/Learn-JMP-Events/Developer-Tutorial-Bayesian-Optimization/ev-p/894910&lt;/A&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;- JMP Cable Article:&amp;nbsp;&lt;A href="https://community.jmp.com/t5/JMPer-Cable/Introducing-the-Bayesian-Optimization-platform-in-JMP-Pro/ba-p/897807" target="_blank"&gt;https://community.jmp.com/t5/JMPer-Cable/Introducing-the-Bayesian-Optimization-platform-in-JMP-Pro/ba-p/897807&lt;/A&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 05 Nov 2025 16:48:11 GMT</pubDate>
    <dc:creator>MarcoSalfi</dc:creator>
    <dc:date>2025-11-05T16:48:11Z</dc:date>
    <item>
      <title>Bayesian Optimisation 5 Minutes Demo</title>
      <link>https://community.jmp.com/t5/Israel-JMP-Users-%D7%A7%D7%91%D7%95%D7%A6%D7%AA-%D7%9E%D7%A9%D7%AA%D7%9E%D7%A9%D7%99%D7%9D/Bayesian-Optimisation-5-Minutes-Demo/m-p/911482#M91</link>
      <description>&lt;P&gt;&lt;SPAN&gt;Bayesian Optimization, aka BayesOpt, is a new platform coming to JMP Pro 19. With it, you&amp;nbsp;can use your existing data to fit a model and then use that model to intelligently decide where to sample next.&amp;nbsp;These new observations are used to update the model and find even better samples. This process can start with a minimal number of runs, which means wasting fewer resources on suboptimal samples and spending more time exploring new opportunities.&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&lt;div class="lia-vid-container video-embed-center"&gt;&lt;div id="lia-vid-6384560349112w864h540r303" class="lia-video-brightcove-player-container"&gt;&lt;video-js data-video-id="6384560349112" data-account="6058004218001" data-player="default" data-embed="default" class="vjs-fluid" controls="" data-application-id="" style="width: 100%; height: 100%;"&gt;&lt;/video-js&gt;&lt;/div&gt;&lt;script src="https://players.brightcove.net/6058004218001/default_default/index.min.js"&gt;&lt;/script&gt;&lt;script&gt;(function() {  var wrapper = document.getElementById('lia-vid-6384560349112w864h540r303');  var videoEl = wrapper ? wrapper.querySelector('video-js') : null;  if (videoEl) {     if (window.videojs) {       window.videojs(videoEl).ready(function() {         this.on('loadedmetadata', function() {           this.el().querySelectorAll('.vjs-load-progress div[data-start]').forEach(function(bar) {             bar.setAttribute('role', 'presentation');             bar.setAttribute('aria-hidden', 'true');           });         });       });     }  }})();&lt;/script&gt;&lt;a class="video-embed-link" href="https://community.jmp.com/t5/video/gallerypage/video-id/6384560349112"&gt;(view in My Videos)&lt;/a&gt;&lt;/div&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;More resources:&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;- Developer Tutorial:&amp;nbsp;&lt;A href="https://community.jmp.com/t5/Learn-JMP-Events/Developer-Tutorial-Bayesian-Optimization/ev-p/894910" target="_blank"&gt;https://community.jmp.com/t5/Learn-JMP-Events/Developer-Tutorial-Bayesian-Optimization/ev-p/894910&lt;/A&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;- JMP Cable Article:&amp;nbsp;&lt;A href="https://community.jmp.com/t5/JMPer-Cable/Introducing-the-Bayesian-Optimization-platform-in-JMP-Pro/ba-p/897807" target="_blank"&gt;https://community.jmp.com/t5/JMPer-Cable/Introducing-the-Bayesian-Optimization-platform-in-JMP-Pro/ba-p/897807&lt;/A&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 05 Nov 2025 16:48:11 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Israel-JMP-Users-%D7%A7%D7%91%D7%95%D7%A6%D7%AA-%D7%9E%D7%A9%D7%AA%D7%9E%D7%A9%D7%99%D7%9D/Bayesian-Optimisation-5-Minutes-Demo/m-p/911482#M91</guid>
      <dc:creator>MarcoSalfi</dc:creator>
      <dc:date>2025-11-05T16:48:11Z</dc:date>
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