This course aims to introduce PhD students in Management to Machine Learning methods with an emphasis on their application in social science research. The first half of the course discusses popular predictive models (regression models, SVM, tree-based methods, etc) and related concepts. The second half discusses graphical models to develop and estimate probabilistic models. The course will have a set of programming/estimation assignments based on recent relevant papers and one final exam. By the end of the course, students will be equipped to spot a machine learning problem in their line of research, specify a model for it, and estimate and evaluate it.

Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.