ACS 4420 - Advanced Predictive Analytics II

This course offers an in-depth exploration of supervised and unsupervised machine learning techniques, as well as their practical applications in the field of actuarial science. Key topics include survival analysis, Bayesian analysis and advanced neural network models, as well as the application of natural language processing (NLP) to actuarial challenges.
Prereq: ACS 4410  
Note: None
This course meets the following Raider Core CLO Requirement: None

• Design and implement Bayesian statistical models
• Apply deep learning techniques to analyze business and financial data
• Use predictive analytical software to solve a problem in topics covered in this course
• Collaborate with a team to apply predictive analytic techniques to analyze real-world data
• Interpret and effectively communicate the technical results and business implications

• Regression analysis
• Classifications
• Clustering analysis

• Supervised machine learning techniques
• Unsupervised machine learning techniques
• Survival analysis and censored data
• Bayesian analysis
• Neural network models
• Natural language processing