Machine learning is a branch of artificial intelligence that enables computers to perform tasks without explicit human input by using algorithms to analyze data and identify patterns. It is distinct from AI in that it specifically refers to the autonomous improvement of computer systems. The two primary forms of machine learning are supervised learning, which involves labeled data for more reliable outcomes, and unsupervised learning, where the algorithm independently finds patterns in unlabeled data. Machine learning has widespread applications, including enhancing marketing strategies, refining search engine algorithms, predicting weather patterns, and enabling machine vision capabilities such as text and facial recognition. As this technology continues to evolve, its potential uses are expected to expand, making it increasingly integral to various aspects of daily life and industry practices.