Explore basic concepts and tools in data science, statistics, and machine learning, including classification, resampling methods, model selection and regularization, and unsupervised methods (clustering and dimension reduction). Three lecture hours a week for one semester. Statistics and Data Sciences 323 and 326E may not both be counted. Prerequisite: Statistics and Data Sciences 320E; or 321 and 322E.