What does "machine learning" refer to in data analysis?

"Machine learning" refers to a subset of artificial intelligence that focuses on the development of algorithms that allow computers to learn from and make predictions or decisions based on data. This process involves feeding large amounts of data into algorithms, which then identify patterns and improve their performance over time without being explicitly programmed for each specific task.

The nature of machine learning is such that it enables machines to adapt and refine their operations through experience, which is crucial in data analysis. By applying machine learning techniques, businesses and researchers can uncover insights and trends that would be difficult or impossible to detect with traditional data analysis methods. As a result, machine learning is a key tool for harnessing the power of big data, enhancing decision-making processes, and creating predictive models across various industries.