FIN 270
Application of Machine Learning in Finance
Explores Machine Learning applications in finance and business, covering supervised and unsupervised learning, CART, random forests, SVM, neural networks, and reinforcement learning. Emphasizes real-world implementation, model validation, ethics, and algorithmic bias.
Prerequisites & course information
Explores Machine Learning applications in finance and business, covering supervised and unsupervised learning, CART, random forests, SVM, neural networks, and reinforcement learning. Emphasizes real-world implementation, model validation, ethics, and algorithmic bias.
Sources
- Course catalogue ↗2026-2027