The train-validate-test process is hard to sum up in a few words, but trust me that you'll want to know how it's done to avoid the issue of model overfitting when making predictions on new data. The ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the importance of performing ...

With an estimated 2.5 billion plus gigabytes of data created every day, people, businesses, governments and organizations of every kind are generating and accessing more information than ever before.

The neural network train-validate-test process is a technique used to reduce model overfitting. The technique is also called early stopping. Although train-validate-test isn't conceptually difficult, ...