BIOS648

This course deals with the analysis of high-dimensional data and machine learning in health sciences. It covers multiple comparison methods for high-dimensional data as well as a wide range of machine learning methods: clustering, classification, tree-based methods including recursive partitioning, random forests, and gradient boosting, nonparametric methods including kernels and splines, model selection and evaluation, regularization methods, support vector machines, and neural networks.