Fundamentals of Machine Learning

3 credits

Covers managerial decision-making and business intelligence. Topics include naive Bayesian classifier, decision trees, rule covering, and other classification techniques, as well as issues related to machine learning; data cleaning, design, testing, and validation. Special attention given to embedded intelligence in modern business processes and applications. Course overlaps with: TBANLT 560. Offered: AS.