Statistical Learning

A framework for ML drawing from statistics and functional analysis which includes methods of statistical inference for finding a predictive function based on data. Includes procedures and techniques for supervised learning tasks (e.g., classification, regression) and unsupervised learning tasks (e.g., clustering, principal components analysis).