Machine Learning explained in less than 3 minutes

Machine learning is a subset of artificial intelligence focused on enabling computers to learn and improve performance on a specific task without being explicitly programmed. It involves the use of algorithms and statistical models to allow computers to identify patterns and make predictions based on data inputs. The learning process in machine learning is iterative, with the system refining its understanding and performance through exposure to more data and feedback. The goal of machine learning is to create models that can generalize well to new, unseen data, aiding in decision-making and automation across a wide range of applications. It has vast applications, including natural language processing, image and speech recognition, recommendation systems, and more.