BUKD-S 575 Business Applications of Machine Learning
- 12 weeks
- 3.00 credits
- Prerequisite(s): BUKD-K520 (Previously BUKD-C 520)
Artificial Intelligence (AI) encompasses a set of powerful tools at the forefront of technological advancements, with machine learning (ML) as a foundational element. This course prepares students to effectively analyze data and improve prediction performance using AI techniques, with a focus on ML as a core component. Students will learn to extract valuable insights from large datasets to support strategic decision-making processes in business. The course frames AI and ML domain knowledge in four layers: applications, tasks, models, and algorithms. Applications in various business contexts will be explored, including customer behavior prediction, price forecasting, fraud detection, quality control, object and facial recognition, natural language processing, and chatbot. For each application, specific ML tasks will be identified. These tasks will be accomplished using a range of ML models, from simpler approaches to ensemble methods (e.g., random forests and boosting), neural networks, and (large) language models.
Students will be introduced to various AI and ML packages (e.g., scikit-learn in Python) to implement some models for business applications, making the AI and ML tools accessible to business students. Students without prior experience with data programming (e.g., using Python) can also take this course. Programming is not required but is encouraged, with instructor-provided resources available to help students prepare for programming basics.