Assessment in ML


Abhishek Chakraborty, Eric Friedlander


Location: Memorial Union Great Hall

Information

In this Birds of a Feather session, we will discuss assessment of undergraduate machine learning courses. We hope the discussion will broadly focus on the following two topics: (a) what topics and concepts are fundamental to most undergraduate machine learning courses, (b) what types of assessment tools are needed to more formally assess the efficacy of different pedagogical strategies for teaching machine learning at the undergraduate level. This session will be of valuate for anyone interested in designing, implementing, or assessing different strategies for teaching machine learning.


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