Machine Learning and Risk Management Applications

Catalog description

Exposes students to a wide variety of machine learning techniques applicable to data types and problems that are routinely found within the insurance industry. Application of machine learning is rapidly growing in insurance industry; this course creates a long-term knowledge base for students to remain empowered, and in time, master and use more sophisticated emerging techniques. Chapters covered include neural networks, spatial models, generalized additive models, discriminant analysis, mixture model-based approaches, and others.