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DTSTART:19810329T030000
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UID:DSC-18602
DTSTART;TZID=Europe/Berlin:20220420T090000
SEQUENCE:1650406142
TRANSP:OPAQUE
DTEND;TZID=Europe/Berlin:20220420T120000
URL:https://www.dresden-science-calendar.de/calendar/en/detail/18602
LOCATION:TUD\,    
SUMMARY:MATLAB-Tutorial: MATLAB in HPC (Module 3: Machine Learning with MAT
 LAB)
CLASS:PUBLIC
DESCRIPTION:Speaker: \nInstitute of Speaker: \nTopics:\nInformatik\n Locati
 on:\n  Name: TUD ()\n  Street:   \n  City:  \n  Phone: \n  Fax: \nDescript
 ion: <p>MATLAB is a programming and numeric computing platform used by mil
 lions of engineers and scientists to analyze data\, develop algorithms\, a
 nd create models. It is developed by MathWorks\, the leading developer of 
 mathematical computing software for engineers and scientists. TU Dresden p
 rovides all staff and students with free campus-wide MATLAB access\, inclu
 ding dedicated toolboxes for various applications.</p>  <p>This event will
  show how to use the built-in capabilities for Machine Learning in MATLAB 
 using the MATLAB Parallel Server</p>  <p>Agenda for Module 3:</p>  <ul>  <
 li>Machine learning introduction</li>  <li>Supervised machine learning mod
 els  <ul>   <li>Regression</li>   <li>Classification</li>   <li>Feature En
 gineering</li>   <li>AutoML</li>   <li>Interpretability</li>  </ul>  </li>
   <li>Unsupervised learning</li> </ul>  <p>The course is free of charge. C
 ourse language: English.<br /> <strong>Please register here until 08th Apr
 il 2022:</strong> Registration MATLAB-Tutorial3 (https://event.zih.tu-dres
 den.de/nhr/matlab-3)<br /> <br /> You will receive the access data via ema
 il to your registered email address before the event. If you have any ques
 tions\, please do not hesitate to contact Ms. Anja Gerbes  (anja.gerbes@t
 u-dresden.de (mailto:anja.gerbes@tu-dresden.de?subject=PIKA-Tutorial)).</p
 >
DTSTAMP:20261014T094215Z
CREATED:20220225T230803Z
LAST-MODIFIED:20220419T220902Z
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