Data Mining & Pattern Recognition for Business Analytics

Catalog description

This course focuses on the theoretical foundations and practical applications of unsupervised machine learning techniques to discover hidden structures and patterns in unclassified datasets. Students will explore techniques such as clustering, association rule mining, social network analysis, and collaborative filtering, with a particular focus on their real-world applications in business. Additionally, the course integrates generative AI to demonstrate how unsupervised learning can be combined with AI to automate creative business tasks such as personalized marketing and recommendation systems. This course will integrate theoretical instruction with practical, real-world business applications, using both classical and cutting-edge AI methods. Prerequisite Course(s): Prerequisites: MRKT 620, MIST 725 or DTSC 501