Introduction to Machine Learning for Biology

Undergraduate / Graduate

Machine learning techniques are essential in many fields of biology that rely on large amounts of data. This course is intended to introduce key concepts in this field and illustrate their applications to biological questions. Students will learn about methods for supervised and unsupervised learning; regression and classification algorithms, and dimensionality reduction approaches. With every method we will emphasize model selection and validation on real data sets. Computational labs are an integral part of the course for students to work on applying these methods using R in the Quarto document system.