Here are some slides for an
introductory talk on machine learning that I gave that is aimed at
non-mathematicians (Here is a
pdf version, complements of Ronny Melz). It focuses on the differences
between Support Vector Machines and log-linear models (e.g. logistic
regression, maximum entropy models). The slides were made on a Macintosh,
so they might look funny on other platforms.