Which of the following describes a key characteristic of Machine Learning?

Machine Learning is characterized by its ability to learn from data input with minimal human interference. This is a fundamental aspect of the technology, as it enables systems to identify patterns, make predictions, and improve over time based on the data they process. Unlike traditional programming, where explicit instructions are given for every task, Machine Learning algorithms adapt and refine their operations based on the information they encounter. This autonomy in learning and adjusting is what sets Machine Learning apart from conventional methods that require constant human oversight. By leveraging large datasets, these algorithms can generalize from examples, making them powerful tools for tasks such as classification, regression, and clustering.