The Rajasthan High Court directed regularization of the petitioner engaged by the State on a part-time basis, who continued ...

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 ...

Our data science expert continues his exploration of neural network programming, explaining how regularization addresses the problem of model overfitting, caused by network overtraining. Neural ...

A recent decision of the Supreme Court had extended to probationary employees the protection of security of tenure that regular employees are entitled to. The case involves a nurse in a hospital whose ...

PANAMA CITY – The efforts of documentation of Venezuelan refugees and migrants in Latin America and the Caribbean should be enhanced to ensure their integration in host countries and prevent the ...

The data science doctor continues his exploration of techniques used to reduce the likelihood of model overfitting, caused by training a neural network for too many iterations. Regularization is a ...