Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...

The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...

One of the most promising uses of the predictive capabilities of artificial intelligence (AI) is in digital health care, especially in precision or personalized medical treatments. As AI algorithms ...