Understanding Neural Network Model Overfitting Model overfitting is a significant problem when training neural networks. The idea is illustrated in the graph in Figure 2. There are two predictor ...

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, ...

Model fit can be assessed using the difference between the model's predictions and new data (prediction error—our focus this month) or between the estimated and true parameter values (estimation ...

Why should you be interested in artificial intelligence (AI) and machine learning? Any classification problem where you have a good source of classified examples is a candidate for AI. Historically, ...

This was the accepted model until 1543 AD, when Copernicus advocated Aristarchus’ concept of heliocentrism—the model where the sun is the center of our planetary system. Debates raged for centuries as ...