What is machine learning best described as?

Machine learning is best described as a subset of artificial intelligence that focuses on enabling systems to learn from data. This involves creating algorithms and statistical models that allow computers to perform tasks without explicitly being programmed for every individual task. The core principle of machine learning is that systems can improve their performance on a task over time as they are exposed to more data, thereby becoming more accurate and efficient in making predictions or decisions.

This understanding of machine learning highlights its capability to process vast amounts of data autonomously, uncovering patterns and insights that might not be immediately apparent to human analysts. The flexibility and adaptability of machine learning systems distinguish them from traditional programming methods where explicit instructions for every potential scenario are necessary.