The success of algorithms is indisputable. They are the invisible conductors of precision in a world overloaded with data. From predicting weather and optimizing traffic to diagnosing diseases and ...
The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...
In a world where machines can code, true intelligence lies in designing the logic that drives them. The future belongs to those who think independently, critically and algorithmically, not ...