IDSC4504: Machine Learning and Responsible AI for Business Applications

Businesses nowadays increasingly make decisions based on data analytics with machine learning (ML) and artificial intelligence (AI) tools and techniques. As such, the abilities to identify analytics problems, collect/process data, and formulate and deliver solutions are important skills of next-generation business professionals. This course offers an introduction to advanced ML/AI topics for business applications. The course builds on top of basic ML/AI concepts and covers more advanced topics in predictive modeling. In addition, this course also teaches topics related to responsible ML/AI, including algorithmic bias and fairness, transparency and explainability, as well as regulatory and privacy issues. Each topic will be introduced with a combination of theoretical intuition and understanding, case studies and hands-on practice. As a part of the course, students will also work in teams on analytics project ideation and solution formulation. prereq: BA 3551

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