Which best describes "machine learning"?

Machine learning is best described as a type of artificial intelligence that learns from data input. This technology enables systems to automatically improve their performance on tasks by analyzing patterns in data rather than relying solely on fixed algorithms. In machine learning, models are trained using large datasets, allowing them to make predictions or decisions based on new data inputs without being explicitly programmed for each specific task.

Unlike fixed algorithms, which follow pre-defined rules and instructions, machine learning algorithms adapt over time, enhancing their effectiveness as they process more data. This capability is what distinguishes machine learning from traditional programming methods. Consequently, it is widely applied in various fields such as image recognition, natural language processing, and recommendation systems, where the ability to learn from and react to data is essential for achieving high accuracy.