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UID:20250712T084004EDT-7656KUOF6O@132.216.98.100
DTSTAMP:20250712T124004Z
DESCRIPTION:Workshop series\n	Computational and Data Systems Initiative\n\n 
 \n\n \n\n \n\nThis workshop consists of two sessions: part 1 (14 April 202
 2) and part 2 (28 April 2022). Part 1 will introduce elementary concepts\,
  such as learning problems\, starting with the example of linear models. P
 art 2 will address more advanced concepts and models.\n\nAre you intereste
 d in machine learning? If you are looking for a place to get started\, the
 n please join us for this workshop where we will cover basic concepts in m
 achine learning theory and briefly survey some popular machine learning mo
 dels.\n	\n	At the end of this workshop (part 1+2)\, you will be able to\n	> I
 dentify common machine learning problems and models.\n	> Understand basic c
 oncepts in machine learning theory and practice\n	> Create and run simple m
 achine learning models using the scikit-learn Python library\n\nPre-requis
 ites? Having attended part 1 of this workshop (April 14).\n\nDate: Thursda
 y April 28th\, 2022\n	Time: 1PM to 3PM\n	Location: In person - Burnside Hall
  BH511\n	Instructor: Can Mekik\, PhD candidate\, Department of Cognitive Sc
 ience\, Rensselaer Polytechnic Institute.\n\nThis workshop is offered for 
 free by the Faculty of Science to the ºÚÁϲ»´òìÈ community. Due to the limited
  amount of spots available\, if you sign up for a workshop and don't show 
 up\, you will not be allowed to attend another workshop this semester.\n\n
 Register here\n\n \n
DTSTART:20220428T170000Z
DTEND:20220428T190000Z
SUMMARY:Machine learning basics\, part 2
URL:/cdsi/channels/event/machine-learning-basics-part-
 2-338821
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