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UID:20250816T101054EDT-0268kn2NUn@132.216.98.100
DTSTAMP:20250816T141054Z
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 (parts 1+2)\, you will be able to:\n	>
  Identify common machine learning problems and models.\n	> Understand basic
  concepts in machine learning theory and practice\n	> Create and run simple
  machine learning models using the scikit-learn Python library\n\nPre-requ
 isites? Working knowledge of Python\, linear algebra\, calculus\, and prob
 ability theory.\n\nDate: Thursday April 14th\, 2022\n	Time: 1PM to 3PM\n	Loc
 ation: In person - Burnside Hall BH511\n	Instructor: Can Mekik\, PhD candid
 ate\, Department of Cognitive Science\, Rensselaer Polytechnic Institute.
 \n\nThis workshop is offered for free by the Faculty of Science to the McG
 ill 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 an
 other workshop this semester.\n\nRegister here\n\n \n
DTSTART:20220414T170000Z
DTEND:20220414T190000Z
SUMMARY:Machine learning basics\, part 1 
URL:/cdsi/channels/event/machine-learning-basics-part-
 1-338793
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