Machine Learning Fundamentals

Catalog description

This course introduces the basic techniques of machine learning and their application to the development of artificial intelligence algorithms. Students are introduced to the underlying mathematical models, common methods of model training, and the development lifecycle. It will highlight the labeling of data, typical data sources, and possible sources of bias. The course will highlight recent developments in the field, including deep learning and neural nets. It will familiarize students with typical models and their commercial applications. Students will apply biblical and ethical principles related to artificial intelligence.