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DTSTART;TZID=America/New_York:20231014T070000
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DESCRIPTION:This course provides an overview of machine learning in the age
  of big data\, cloud computing\, and our data-saturated society. Business 
 leaders will learn of the various types of machine learning\, and how they
  can be used with a variety of enterprise data holdings and publicly avail
 able data to develop deeper insights in the business environment\; underst
 and basic computational intelligence paradigms\, and how machine learning 
 is integral to the field\; learn the technical vocabulary and high-level c
 oncepts of machine learning in a manner that demystifies the topic and ena
 bles them to ask the right questions on the deployment of machine learning
  into business operations.\n\nSpeaker: Grant Scott\, Assistant Professor i
 n the Center for Geospatial Intelligence (CGI) and the Electrical Engineer
 ing and Computer Science Department\, University of Missouri\n\nCo-sponsor
 ed by: Continuing Education Committee of the Educational Activities Board 
 of the IEEE\n\nVirtual: https://events.vtools.ieee.org/m/365740
LOCATION:Virtual: https://events.vtools.ieee.org/m/365740
ORGANIZER:bgramat@jhmi.edu
SEQUENCE:23
SUMMARY:Machine Learning: Predictive Analysis for Business Decisions
URL;VALUE=URI:https://events.vtools.ieee.org/m/365740
X-ALT-DESC:Description: <br /><p>This course provides an overview of machin
 e learning in the age of big data\, cloud computing\, and our data-saturat
 ed society. Business leaders will learn of the various types of machine le
 arning\, and how they can be used with a variety of enterprise data holdin
 gs and publicly available data to develop deeper insights in the business 
 environment\; &nbsp\;understand basic computational intelligence paradigms
 \, and how machine learning is integral to the field\; &nbsp\;learn the te
 chnical vocabulary and high-level concepts of machine learning in a manner
  that demystifies the topic and enables them to ask the right questions on
  the deployment of machine learning into business operations.</p>\n<p>Spea
 ker: &nbsp\;<strong>Grant Scott</strong>\, Assistant Professor in the Cent
 er for Geospatial Intelligence (CGI) and the Electrical Engineering and Co
 mputer Science Department\, University of Missouri</p>
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