Explore the differences between AI and machine learning (ML), their real-world applications, and their benefits. This guide provides explanations of AI and ML concepts, examples in various industries, and future insights of these technologies, Find out the differences between artificial intelligence and machine learning. See how you can apply data to make informed decisions. Read more from MIT PE., Machine Learning is a subset of AI that gives machines the ability to learn from data without being explicitly programmed., AI is the overarching system. Machine learning is a subset of AI. Deep learning is a subfield of machine learning, and neural networks make up the backbone of deep learning algorithms., Machine learning (ML) is one among many other branches of AI. ML is the science of developing algorithms and statistical models that computer systems use to perform complex tasks without explicit instructions. The systems rely on patterns and inference instead., "Machine learning is the science of getting computers to act without being explicitly programmed," says Arthur Samuel. In contrast, AI encompasses a broader spectrum, including rule-based systems and decision-making algorithms..