Course Director: Samprit Banerjee, PhD, MStat
In the last decade, biomedical and health sciences have seen an explosion of “Big Data” problems. Such problems are commonly associated with general business analytics and marketing. Many statistical and machine learning methods are required to solve such problems. This course is going to provide the basic know-how to tackle such problems and is going to teach what is statistical learning, how to assess model accuracy, supervised and unsupervised classification techniques, tree-based methods, random forests, regularized regression techniques, resampling methods, and support vector machines. The aim of this course is to enable students to identify an appropriate statistical learning algorithm for a real-world application and be able to apply the algorithm to the data using R while being cognizant of the advantages and disadvantages of the chosen algorithm.