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UID:20251105T082310EST-14788K8n8V@132.216.98.100
DTSTAMP:20251105T132310Z
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 ºÚÁÏÍø 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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