Machine, Model, and Statistical Learning I

4 Units.

Introduction to machine, model, and statistical learning, featuring a series of topics on how to leverage data for model development (“learning”), model calibration (“training”), model evaluation (“verification”), and uncertainty quantification, illustrated using simple practice exercises and real-world case studies.