MGMTMBA 273
Machine Learning Analytics for Business
Introduces methods to mine data repositories for business intelligence to facilitate analytical decision-making. Topics include clustering for market segmentation; association rules to discover relationships between different purchase decisions; Naive-Bayes classification techniques for decision-making using decision-trees.
Topics
- clustering for market segmentation
- association rules to discover relationships between different purchase decisions
- Naive-Bayes classification techniques for decision-making using decision-trees
Topics explicitly listed in official catalogue description
Prerequisites & course information
Introduces methods to mine data repositories for business intelligence to facilitate analytical decision-making. Topics include clustering for market segmentation; association rules to discover relationships between different purchase decisions; Naive-Bayes classification techniques for decision-making using decision-trees.
Sources
- Course catalogue ↗2026-2027