Are you curious about machine learning, but not sure where to start, or if the discipline is for you? Join ACENET for a survey and explanation of several methods used to make machines learn--from simple models like Naive Bayes, Regression, and Decision Trees to an introduction to Support Vector Machines and Feed-Forward Neural Networks.

This talk is geared to be approachable to a novice audience, curious about machine learning, but not necessarily math or computer science majors. Methods and techniques will be explained using metaphors, examples, and clear language, without diving too deeply into the math and calculus on which these techniques are based.

This session will take place on Thursday, March 19, 1:00--3:00 pm.

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