Ivar Jacobson created the first use case model in 1987 while working at Ericsson. It started as a tool for developing complex ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

In Week 11, I explained the difference between anticipated regression and the so-called "Gambler's fallacy", and in Week 12, ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

From the death (and reincarnation) of the F-150 Lightning, to silly high transaction prices for new Cadillacs, to a ...

It’s Christmas 1981. You’ve got the Radio Times and you’ve been through it in advance to circle what you want to watch. Telly ...

To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more time thinking about potential solutions.

AI hallucination is often misread as creativity. This explains why it’s a symptom of optimization fatigue, and what that ...

Occam’s razor is the principle that, all else being equal, simpler explanations should be preferred over more complex ones. This principle is thought to guide human decision-making, but the nature of ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.