The primary use of machine learning algorithms is to enable systems to learn from data and make predictions or decisions without being explicitly programmed for specific tasks. These algorithms analyze large datasets, identify patterns, and refine their outputs based on experience. For instance, applications include recommendation systems, image recognition, and natural language understanding. By continuously improving their accuracy through exposure to more data, machine learning algorithms provide valuable insights and automation across various domains, enhancing efficiency and enabling smarter, data-driven decisions in businesses and technology.