IDL Lect1B AI, ML, and Deep Learning Explained Simply

What is the difference between Artificial Intelligence, Machine Learning, and Deep Learning? In this lecture, I explain these three important concepts in a simple and beginner-friendly way. AI is the broad field of building systems that can perform tasks normally requiring human intelligence, such as reasoning, decision-making, perception, language understanding, and planning. Machine learning is a major part of AI, and deep learning is a powerful approach within machine learning. You will learn: -what Artificial Intelligence means -how Machine Learning fits inside AI -what makes Deep Learning different -why definitions matter before studying interpretability -why deep learning became powerful -why deep learning can be difficult to explain -whether a more accurate model is always a better model This lecture is part of the course INF-8605: Interpretability in Deep Learning. It is designed for students, researchers, AI beginners, developers, and anyone who wants to build a clear foundation before learning about explainable and interpretable AI. The lecture also prepares the audience for the next topic: From AI History to the Black-Box Problem. #ArtificialIntelligence #MachineLearning #DeepLearning #ExplainableAI #Interpretability #AIForBeginners #AIEducation #DeepLearningExplained #TrustworthyAI #ResponsibleAI