Data Mining and Machine Learning are closely related fields that have influenced each other, yet they serve different ends. Data Mining is the process of analyzing a data set to discover interesting, previously unknown patterns and relationships among its items. Machine Learning is a computer's capability to learn from data: its algorithms use the relationships found within a data set to build models that predict future outcomes. In practice, Data Mining often applies Machine Learning techniques to uncover patterns, while Machine Learning depends on well-prepared (mined) data to train its models. Source: https://www.javatpoint.com/data-mining-vs-machine-learning