Prerequisites: C- or better BSCI170 and either MATH140 or MATH136

Introduces students to the fundamental principles of machine learning and its applications in biology and medicine. Students will learn about key machine learning techniques, including classification, regression, clustering, and deep learning, with a focus on practical applications like cancer diagnosis, gene expression analysis, and protein structure prediction. Through lectures and guided projects, students will gain an understanding of how to apply machine learning models to biological datasets, evaluate their performance, and interpret results. No prior programming or machine learning experience is required.