Ernie Smith is a former contributor to BizTech, an old-school blogger who specializes in side projects, and a tech history nut who researches vintage operating systems for fun. In data analysis, it is ...

Overfitting in ML is when a model learns training data too well, failing on new data. Investors should avoid overfitting as it mirrors risks of betting on past stock performances. Techniques like ...

Data mining gained some notoriety recently when it was reported that the National Security Agency had used the phone records of tens of millions of Americans to root out potential terrorists. This ...

Data mining is an analytical process designed to explore and analyze large data sets to discover meaningful patterns, correlations and insights. It involves using sophisticated data analysis tools to ...

This article, an excerpt from Java Data Mining: Strategy, Standard, and Practice by Mark F. Hornick, Erik Marcade, Sunil Venkayala (Morgan Kaufman, 2007), introduces data mining concepts for those new ...