Fundamentals of Artificial Intelligence and Machine Learning for BME Applications

Catalog description

The course will be devoted to understanding, implementing, and using basic Artificial Intelligence and Machine Learning (AI/ML) tools for students desiring a one-semester exposure to this subject in the context of BME applications. Both supervised and unsupervised problems will be considered. Both image and time series problems will be considered. The algorithms will be implemented for training, validation, and testing, often from open-source components, primarily in Python, NumPy, and PyTorch software. There are no prerequisites but some experience with linear algebra, probability, and Python is expected.