Chalk Talk: Simple "Machines" for Learning and Predicting

Kim, Yoonsang. (2015, March 10). Simple "Machines" for Learning and Predicting [PDF of PowerPoint slides]. Institute for Health Research and Policy, University of Illinois at Chicago.

Data mining and predictive analytics are getting attention thanks to "Big Data". In this talk, you will learn from the data in hand how to make predictions with given information, using basic machine learning classifiers: logistic regression, naïve bayes, and support vector machines. This talk will also cover how unstructured text data are analyzed using these methods.

View Dr. Kim's presentation. (PDF) 

MRC Chalk Talks are informal educational seminars about current methodological issues hosted by the IHRP Methodology Research Core, usually held on the second Tuesday of the month at 1 p.m.

Health researchers at all levels of experience, including postdoctoral fellows and doctoral students designing their own studies, are welcome.