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MTH 655
Machine Learning in Business
This course covers the most recent technological innovations in business. Topics include: supervised learning, unsupervised learning, reinforcement learning, adaptive neuro-fuzzy inference systems. Applications include: digital money, blockchain technology (cryptocurrencies), natural language processing, credit decisions, interest rate modelling, price prediction, risk management.
Weekly Contact: Lecture: 3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1
Mentioned in the Following Calendar Pages
*List may not include courses that are on a common table shared between programs.