This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.

What does AI overfitting actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

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 ...

This article rounds up some of the most valuable free data science courses offered by top institutions like Harvard, IBM, and ...

Information-theoretic approaches to model selection, such as Akaike’s information criterion (AIC) and cross validation, provide a rigorous framework to select among candidate hypotheses in ecology, ...