• Machine Learning and Artificial Intelligence for Business

Catalog description

Techniques in machine learning and artificial intelligence with business applications. Topics include data wrangling, supervised machine learning methods, deep learning, model selection, evaluation metrics, and time series forecasting. Applications include forecasting sales and revenue, predicting and classifying business outcomes. Emphasizes practical learning through real-world data, case studies, and industry-relevant software. Prerequisites: BUS 317 ; BUS 100 or MAT 124M ; COS 101 or COS 111 ; Senior standing. Offered: Spring.