What is Data Mining? Key Techniques & Examples
Data mining is discovering buried patterns, correlations, and anomalies in large datasets using statistical analysis and machine learning applied to them. The derived information may be used for decision-making and predictive modeling in attempts to understand complex phenomena. How It Works
Data mining is merely a subset of analytics that handles the extraction of knowledge and hidden patterns from data explicitly. Traditionally, a data scientist was required to build, refine, and deploy models. With the help of AutoML tools, all this can be done by a data analyst provided the model isn’t too complex.