STATS 780, Fall 2018
The course will cover core and selected topics in data science. The core topics are classification and regression trees, neural networks, boosting, bagging, unsupervised learning, signal processing, random forests, ensemble methods, data visualization, big data, and data storage. Selected topics include data warehousing, data compression, data cleaning, deep learning, and artificial intelligence.
Instructor: Sharon McNicholas
PLEASE REFER TO MOSAIC FOR THE MOST UP-TO-DATE INFORMATION ON TIMES AND ROOMS