The use of ridge regression is illustrated by developing a prognostic index for the two-year survival probability of patients with ovarian cancer as a function of their deoxyribonucleic acid (DNA) ...

The group lasso estimator for logistic regression is shown to be statistically consistent even if the number of predictors is much larger than sample size but with sparse true underlying structure. We ...

Explore 20 powerful activation functions for deep neural networks using Python! From ReLU and ELU to Sigmoid and Cosine, learn how each function works and when to use it. #DeepLearning #Python # ...