Course by University of St. Gallen on computational statistics focused on data mining and modeling of large, high-dimensional datasets using modern statistical and machine learning methods. Covers regression, nonparametric models, trees, splines, additive models, neural networks, and resampling techniques like bootstrap and cross-validation. Emphasizes model building, evaluation, and handling challenges like the curse of dimensionality.
