What is Transfer Learning and Ensemble Learning ? As the realm of artificial intelligence (AI) continues to evolve, two pivotal methodologies have emerged as game-changers: transfer learning and ensemble learning. Both are heralded for their potentially transformative impact on the field, making headway in scientific research in AI and increasingly being featured at conferences and […]
What is Overfitting and Underfitting in AI ? In the realm of artificial intelligence (AI), understanding the phenomena of overfitting and underfitting is crucial for developing models that are both accurate and generalizable. These two pitfalls can significantly affect the performance of AI systems, making the topic an essential area of focus in scientific research […]
What is a Bayesian Network? Understanding AI Heuristics In the realm of artificial intelligence (AI), understanding complex models is crucial for advancing scientific research and application. Among these models, Bayesian networks stand out as fundamental tools for modeling uncertainties and making predictions based on them. The question of “what is a Bayesian network?” delves into […]