This course is a technical introduction to pattern classification and machine learning with a focus on biomedical data. Students will learn the details of classical and modern machine learning approaches and when to apply them. We will focus on applications to biomedical problems, including quantification, disease diagnosis, patient classification, and decision support systems. The lecture materials will be a mix of theory and application. This course is dual-listed with BE 432.