Statistical and Machine Learning

3 Credits

Common machine learning methods, algorithmic analysis of models for scalability and implementation, data transformations (including dimension reduction, smoothing, aggregation), supervised and unsupervised learning, and ensemble methods. Prerequisites: DSCI 310 and DSCI 321 and DSCI 431