BU 456 - Introduction to Modeling

This course will explore the foundations of artificial intelligence (AI) and machine learning with a focus on distinguishing between unsupervised and supervised learning. Students will learn to interpret and effectively communicate model results, evaluate diverse preprocessing techniques, and choose appropriate models for distinct data domains. Students will also develop practical skills by applying basic models and random forests to real-world datasets, utilizing modeling libraries for feature selection and dimensionality reduction. Semester Credit Hours: 3.00 Contact Hours: 45/0/0/45 Prerequisites: BU 321 - Business Statistics. Corequisites: None.