MSBA 5505 HY: Machine Learning for Business
Machine learning is the process of developing, testing, and applying predictive algorithms to predict future outcomes. This course will teach students how to use machine learning to achieve business goals. Students will be trained to formulate ML solutions to real-world problems, carry a project through various ML phases such as training, evaluation, and deployment, and perform AI responsibly to avoid reinforcing existing bias. They will measure, monitor and predict the evolution of key enterprise variables and performance indicators and present them in the form of usable information for business decision-making. Topics include supervised and unsupervised learning, data mining, text mining and big data strategies. This course is only available for graduate students enrolled in the Barowsky School of Business or 4+1 business majors with Program Director approval.