Fellow Computational Legal Studies (computationallegalstudies.com/) blogger and MSU law prof Dan Katz (web.archive.org/web/20121102152827/http://www.law.msu.edu...) invited me to give an expert guest lecture for his e-Discovery seminar (web.archive.org/web/20121009123735/http://www.law.msu.edu...). This seminar, taught jointly with Professor Candeub (www.law.msu.edu/faculty_staff/profile.php?prof=370), is an excellent example of MSU's strategic pivot to deliver practical, 21st-century skills to their students. The goal of the talk was to provide students with the ability to understand and communicate with their discovery and predictive coding software vendors and service providers with respect to the underlying mechanics of predictive coding. It was a pleasure to present to these students, and I would encourage anyone interested to follow up by email with any questions they might have.
The slides of the lecture are embedded below.
Natural Language Processing and Machine Learning for Discovery (www.slideshare.net/mjbommar/natural-language-processing-a...) from mjbommar (www.slideshare.net/mjbommar)
Embedded in the original post: www.slideshare.net/slideshow/embed_code/14966988