In the context of artificial intelligence, Machine Learning refers to the ability of systems to learn and improve from experience without being explicitly programmed. It utilizes statistical methods to enable computers to analyze and interpret vast amounts of data, recognizing patterns and making predictions based on new, unseen data. Machine Learning techniques, such as supervised, unsupervised, and reinforcement learning, play crucial roles in applications ranging from natural language processing to image recognition, contributing significantly to the advancement of AI technologies and their practical implementations.