Machine Learning in Health Informatics

Catalog description

This course introduces the basics of supervised learning, unsupervised learning, reinforcement learning, and deep learning, providing a foundational understanding of each approach and their application in health informatics. We will also explore the ethical considerations and potential biases in machine learning algorithms, emphasizing their impact on healthcare outcomes.