Episode description

A major challenge in applied AI is out-of-distribution detection, or OOD, which is the task of detecting instances that do not belong to the distribution the classifier has been trained on. OOD data is often referred to as “unseen” data, as the model has not encountered it during training. Bayan Bruss is the VP of

The post AI Research at Capital One with Bayan Bruss appeared first on Software Engineering Daily.