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MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE MODELS FOR BUSINESS ANALYTICS

GENBUS 657
Course Description

An introduction to machine learning models for business applications. Builds on the predictive modeling basics by developing general algorithmic prediction models for supervised machine learning. Covers additive models, CARTs, bagging/boosting, deep learning approaches, and AI models. Discussion of unsupervised learning techniques, including clustering and anomaly detection.

Prerequisties

GENBUS 656 or concurrent enrollment

Satisfies
Credits

2

Offered

Not Applicable

Grade Point Average
Not Reported

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Completion Rate
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A Rate
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Class Size
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Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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