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An introductory course on the machine learning techniques reshaping business practice, grounding algorithms in statistics, linear algebra, and optimization. Students examine when algorithms succeed or fail and how they generate business value, then practice training models in Python and drawing predictions from real-world data.
- Level
- Advanced
- Department
- Questrom
- Credits
- 4
- Cross-listed as
- BA 476
- Prerequisites
- CAS CS 108/111, CDS DS 110, or QST BA 222
- BU Bulletin
- View in the BU Bulletin
Instructors
Last verified: August 22, 2026
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