A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

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

The study by researchers at Benha University shows that cost overruns in Egyptian road projects are mainly caused by unclear ...