Data Analytics II

Catalog description

A continuation of DATA 420 mainly pertaining to applications in machine learning including neural networks, support vector machines, ensemble models, deep learning, and reinforced learning. Building predictive and explanatory models for real world applications will be emphasized. All stages of the machine learning life cycle will be developed and studied using an AutoML package (or something similar). When Offered: Every Fall Term