BY SEAN WILLIAMS, PhDSanta FeActually, I won’t use the term AI. It’s too broad: it can mean anything from zero-player tic-tac ...

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 ...

In May 2025, TikTok was fined roughly $600 million under the General Data Protection Regulation (GDPR) for failing to prove EU user data was sufficiently protected. This penalty should be a wake-up ...

Artificial Intelligence (AI) is changing how people trade cryptocurrencies. AI algorithms can process enormous amounts of data, recognize market trends, and generate crypto signals that alert buyers ...

A condition whereby an AI model is not generalized sufficiently for all uses. Although it does well on the training data, overfitting causes the model to perform poorly on new data. Overfitting can ...

I regress real GDP growth rates on the IMF’s growth forecasts and find that IMF forecasts behave similarly to those generated by overfitted models, placing too much weight on observable predictors and ...