Are you struggling with how, when, and why to apply advanced machine learning and statistical models in health actuarial applications?
Do you shudder when your machine learning group sends slides with ROC (Receiver Operating Characteristic) curves, cross-validated R-squared values, and neural network models with thousands of nodes, wondering how that model could be fit?
Are you just starting with machine learning and want to know how to apply your actuarial statistical background to this world of new vocabularies and futuristic ideas?
Whatever your level of experience, background, or familiarity with artificial intelligence, bring it to this 'safe space' and ask any question. We will encourage a frank exchange of ideas and discuss recent actuarial experiences with the latest machine learning techniques, including GBMs (Gradient Boosting Models), deep learning models, and neural networks. We'll also share challenges and thoughts about the future of machine learning for health actuaries in pricing, trend estimation, and the incorporation of true 'big data' in healthcare.
Attendees will learn and share knowledge about how AI is used in healthcare modeling, encounter AI applications in models, hear how actuaries use AI in their work today, consider challenges faced when using AI for actuarial modeling, and discuss the future of machine learning in actuarial applications.