225 Advanced Machine Learning for the Biomedical Sciences II (3 units) Spring
Instructor(s): G. Valdes Prerequisite(s): Biostats 213 or equivalent. Biostat 216 and Biostat 208 or equivalent
Restrictions: This course is part of the Training in Clinical Research (TICR) Program and may have space limitations. Auditing is not permited. Activities: Direct - Lecture, Direct - Project, Student - Lecture, Student - Project, Student - Independent Study
This course covers the underlying formulation of machine learning algorithms. Its focus is on providing deep understanding of machine learning methodology. This is an advanced course in machine learning and its objective is to provide students with a strong foundation so that they can properly manipulate and customize black box machine learning library packages. Students will implement popular machine learning algorithms and customize them to best satisfy specific needs in medicine.