Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

The global demand for Explainable AI (XAI) is accelerating as organizations seek greater transparency and accountability in artificial intelligence systems used across critical industries. According ...

This course explores the field of Explainable AI (XAI), focusing on techniques to make complex machine learning models more transparent and interpretable. Students will learn about the need for XAI, ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data yields stronger, more reliable mode ...