Participants will learn how to a) utilize supervised and unsupervised machine learning for clinical applications; b) employ deep learning for clinical applications; c) determine which data science/artificial intelligence techniques are appropriate for a given clinical application; and d) implement these methodologies in Python code.

After completing the bootcamp, participants will be able to determine which data science/artificial intelligence techniques are appropriate for a given clinical application and apply them to their own clinical and/or research activities.

$100 - UM personell

For scheduling, instructor profiles, and registration details, please visit their website: https://midas.umich.edu/data-science-for-biomedical-scientists/