. What is the application of machine learning methods to a large database called?

The application of machine learning methods to a large database is commonly referred to as "data mining." Data mining involves exploring and analyzing large datasets to discover patterns, trends, and valuable information that can be used for decision-making and predictive analytics. It combines techniques from statistics, machine learning, and database systems to extract insights from vast amounts of data.

In practice, data mining can be utilized in various fields such as finance for fraud detection, marketing for customer segmentation, healthcare for predicting disease outbreaks, and many others. The ability to analyze large datasets enables businesses and researchers to make informed choices and improve their strategies based on the evidence gathered from the data.

Overall, data mining is a powerful tool that transforms raw data into actionable intelligence, significantly enhancing our understanding of complex systems and improving operational efficiency.