CTML - Center for Targeted Machine Learning and Causal Inference

The Center for Targeted Machine Learning and Causal Inference (CTML), at UC Berkeley is an interdisciplinary research center for advancing, implementing and disseminating methodology to address problems arising in public health and clinical medicine. The Center brings the rigor and power of statistical theory together with advances in machine learning and causal inference to generate robust evidence for advancing health

Ctml - center for targeted machine learning and causal inference operates in the Public health industry.

Ctml - center for targeted machine learning and causal inference's revenue is 11m - 100m

Ctml - center for targeted machine learning and causal inference has 11 - 50 employees.