Explainable AI (often shortened to XAI) is a collection of methods and processes that make an AI system’s predictions and behavior understandable to people, so stakeholders can trust, validate, and
Explainable AI (often shortened to XAI) is a collection of methods and processes that make an AI system’s predictions and behavior understandable to people, so stakeholders can trust, validate, and
Generative Adversarial Networks, commonly called GANs, are a class of deep learning models that learn to generate new, realistic data by pitting two neural networks against each other in a
Ensemble learning is a technique that combines multiple models to produce predictions that are more accurate, robust, and reliable than those from any single model. By aggregating the strengths of
XGBoost, short for eXtreme Gradient Boosting, is a high-performance implementation of gradient-boosted decision trees designed for speed, accuracy, and scalability on structured/tabular data. It builds an ensemble of shallow decision