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 ...

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 ...

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 ...

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 ...

AI agents are becoming a promising new research direction with potential applications in the real world. These agents use foundation models such as large language models (LLMs) and vision language ...

As an ultra-distance triathlete who led a repetitious, monk-like existence for years on end, dreaming was an escape hatch from the monotony of daily life that also helped my brain master the motor ...

Providence, RI---Your financial advisor calls you up to suggest a new investment scheme. Drawing on 20 years of data, he has set his computer to work on this question: If you had invested according to ...

Neural network dropout is a technique that can be used during training. It is designed to reduce the likelihood of model overfitting. You can think of a neural network as a complex math equation that ...

Our data science expert continues his exploration of neural network programming, explaining how regularization addresses the problem of model overfitting, caused by network overtraining. Neural ...