What is the focus of machine learning?

The focus of machine learning is enabling computers to learn from data and improve performance over time. This is achieved through algorithms that allow machines to identify patterns, make decisions, and adapt their actions based on the information they process. Machine learning algorithms use data input to refine their models, which helps them make more accurate predictions or classifications as they encounter new data. This is fundamentally different from traditional programming, where computers execute a specific set of pre-defined instructions (as mentioned in another choice) without adapting to new input.

The essence of machine learning lies in its ability to analyze vast amounts of data, discern underlying trends, and enhance its performance autonomously. As the machine learns from more data, it becomes increasingly proficient at handling similar tasks, ultimately leading to improved outcomes that would not be possible through static programming alone.