Machine Learning and Artificial Intelligence
Machine Learning and Artificial Intelligence won't replace managers in the near term, but managers who use ML and AI well will replace those who don't. Organizations now have too much data and insufficient time for managers to consume data only in spreadsheets. Instead, the future of work involves managers designing models that, for example, segment customers, forecast sales, schedule preventative maintenance, or predict markets. This course addresses both the technical and managerial aspects of these applications. Technically, students use Python to create, evaluate, and tune multiple practical models (e.g., classifiers, trees, neural networks) in supervised and unsupervised machine learning contexts. Managerially, this course examines how organizations create value through AI applications.
Course overview
- Department
- Business Analytics
- School
- CSOM
- Credits
- 3
Requirements fulfilled
No source-backed degree requirement is attached to this course yet.
Official evaluation summary
Data freshness
Instructors
Sections
- Section 01
- Section 02
- Section 03