Popular algorithms, such as k-means clustering, association analysis, and regression analysis, are applied in both data mining and machine learning to analyze data. But where machine learning focuses on the incremental process of self-learning and data modeling to form predictions about the future, data mining narrows in on cleaning large datasets to glean valuable insight from the past.
