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DTSTART:20190310T030000
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DTSTAMP:20190614T161202Z
UID:98B983F2-0A19-47E8-B47E-CEBF3B74D4EB
DTSTART;TZID=US/Eastern:20190618T180000
DTEND;TZID=US/Eastern:20190618T200000
DESCRIPTION:Machine Learning with MATLAB – a Hands-on Workshop. Find the 
 details and register here:\n\nwww.mathworks.com/company/events/seminars/ma
 chine-learning-w-ml-2805253.html\n\nDon’t delay. Registration for the Ha
 nds-on Workshop is needed before Monday morning!\n\nIf you haven’t done 
 so\, don’t forget to register for Tuesday’s machine learning overview 
 described below.\n\nBRIEFING DESCRIPTION:\n\nThis presentation begins with
  an overview of machine learning\, including various types of machine lear
 ning\, the workflow\, and what makes building predictive models challengin
 g. You will learn what the hot topics Deep Learning and Artificial Intelli
 gence are all about relative to Machine Learning.\n\nThen\, in the context
  of real world applications\, this talk addresses how MATLAB® empowers en
 gineers and scientists without significant signal processing and machine l
 earning expertise to:\n\n- Quickly build initial predictive models without
  writing any code\n- Optimize performance\, including hyperparameter tunin
 g\n- Scale processing to big data and cloud computation\n- Leverage advanc
 ed signal and text processing techniques\n- Deploy models in production IT
  systems or on embedded devices\n\nWe will conclude with key industrial in
 novations driven by Machine Learning\, such as optimizing equipment mainte
 nance and monitoring production systems.\n\n... IEEE/FWCS Consultants Netw
 ork Affinity Group\n\nCo-sponsored by: AMHERCORP\n\nSpeaker(s): Bernhard S
 uhm\, \n\nRoom: Quarterdeck\, Bldg: Saint Petersburg Yacht Club\, 11 Centr
 al Avenue\, Saint Petersburg\, Florida\, United States\, 33701
LOCATION:Room: Quarterdeck\, Bldg: Saint Petersburg Yacht Club\, 11 Central
  Avenue\, Saint Petersburg\, Florida\, United States\, 33701
ORGANIZER:jstosic@genium.com
SEQUENCE:32
SUMMARY:UPDATE: Machine Learning Made Easy with MATLAB
URL;VALUE=URI:https://events.vtools.ieee.org/m/198874
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;span styl
 e=&quot;font-size: 14pt\;&quot;&gt;&lt;strong&gt;Machine Learning with MATLAB &amp;ndash\; a Hand
 s-on Workshop&lt;/strong&gt;. Find the details and register here:&lt;/span&gt;&lt;/p&gt;\n&lt;p
 &gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;&lt;a href=&quot;http://www.mathworks.com/company
 /events/seminars/machine-learning-w-ml-2805253.html&quot;&gt;www.mathworks.com/com
 pany/events/seminars/machine-learning-w-ml-2805253.html&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p
 &gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-
 size: 14pt\;&quot;&gt;Don&amp;rsquo\;t delay.&amp;nbsp\; Registration for the Hands-on Wor
 kshop is needed before Monday morning!&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-si
 ze: 14pt\;&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/
 p&gt;\n&lt;p&gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;If you haven&amp;rsquo\;t done so\, don
 &amp;rsquo\;t forget to register for Tuesday&amp;rsquo\;s machine learning overvie
 w described below.&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;span st
 yle=&quot;font-size: 14pt\;&quot;&gt;BRIEFING DESCRIPTION:&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;
 font-size: 14pt\;&quot;&gt;This presentation begins with an overview of machine le
 arning\, including various types of machine learning\, the workflow\, and 
 what makes building predictive models challenging. You will learn what the
  hot topics Deep Learning and Artificial Intelligence are all about relati
 ve to Machine Learning.&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;&amp;nb
 sp\;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;Then\, in the context 
 of real world applications\, this talk addresses how MATLAB&amp;reg\; empowers
  engineers and scientists without significant signal processing and machin
 e learning expertise to:&lt;/span&gt;&lt;/p&gt;\n&lt;ul&gt;\n&lt;li&gt;&lt;span style=&quot;font-size: 14p
 t\;&quot;&gt;Quickly build initial predictive models without writing any code&lt;/spa
 n&gt;&lt;/li&gt;\n&lt;li&gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;Optimize performance\, includ
 ing hyperparameter tuning&lt;/span&gt;&lt;/li&gt;\n&lt;li&gt;&lt;span style=&quot;font-size: 14pt\;&quot;
 &gt;Scale processing to big data and cloud computation&lt;/span&gt;&lt;/li&gt;\n&lt;li&gt;&lt;span
  style=&quot;font-size: 14pt\;&quot;&gt;Leverage advanced signal and text processing te
 chniques&lt;/span&gt;&lt;/li&gt;\n&lt;li&gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;Deploy models in
  production IT systems or on embedded devices&lt;/span&gt;&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p&gt;&lt;span
  style=&quot;font-size: 14pt\;&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-size: 
 14pt\;&quot;&gt;We will conclude with key industrial innovations driven by Machine
  Learning\, such as optimizing equipment maintenance and monitoring produc
 tion systems.&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-size: 14pt\
 ;&quot;&gt;&lt;strong&gt;... IEEE/FWCS Consultants Network Affinity Group&lt;/strong&gt;&lt;/span
 &gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-size: 12pt\;&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;
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