Training and inference are the primary tools that AI models need to function. Inference gives AI the ability to answer new questions. AI models spend most of their time running inference.

However, the focus is shifting toward optimizing the resources required for inference, which is when a pre-trained AI model makes predictions or decisions based on new, unseen data (rather than ...

This course aims to define causation in biomedical research, describe methods to make causal inferences in epidemiology and health services research, and demonstrate the practical application of these ...

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Define a composite hypothesis and the level of significance for a test with ...

5 Despite the potential of newer frameworks and methodologies designed to enhance causal inference from observational data, these have largely been overlooked in physical activity research.