Boot Up! Our Machine Learning Series Starts Oct. 1

Don't miss this new fall series exploring machine learning and its applications in biomedicine and health.

Join Advance-CTR and the Data Science Initiative for this 5-part series exploring machine learning, its methodology, and application in biomedicine and health.

The purpose of this series is to serve as an introduction to machine learning for researchers, clinician scientists, and others who may be interested in using these methods in their research.

Fall Schedule: 

Friday October 1

Carsten Eickhoff, PhD: "An Introduction to Machine Learning" 
12-1 p.m. | Register Now

Friday, October 8 

Roberta De Vito, PhD: "Cross-Study Machine Learning Techniques: Reproducibility and Differences Across Studies”
12 - 1 p.m. | Register Now

Wednesday, October 13

Yichi Zhang, PhD: "Interpretable Individualized Treatment Rules Using Decision Lists”
4-5 p.m. | Register Now

Wednesday, October 20

Ruotao Zhang, MSc: “Role of Calibration in Uncertainty-based Referral for Deep Learning”
Dilum Aluthge, MD, PhD candidate: “Supervised Machine Learning Workflows for Electronic Health Records”
4-5 p.m. | Register Now

Wednesday, October 27

Joe Hogan, ScD: Title TBA
4-5 p.m. | Register Now