"Machine learning" and "artificial intelligence" are two of the buzz-iest buzzwords of our time. But what does it really mean for a machine to "learn"? In this workshop, we will break down these concepts into more approachable components. Attendees will learn how to frame a machine learning problem in terms of inputs and outputs, seeing how machine learning tasks boil down to well-defined optimization problems. During the interactive coding portion of the workshop, we will focus in on a few intuitive algorithms and think about how the general problem of connecting inputs to outputs is solved by these particular models.
Banner photo credit: Pietro Jeng on Unsplash.
GDSC Lead
William & Mary
Core Team Member
Vice-Lead
Core Team Member
Core Team Member
Core Team Member
Core Team Member
Core Team Member
Core Team Member
Core Team Member
Core Team Member
