Visual Studio Magazine

Logistic Regression Using PyTorch with L-BFGS

Dr. James McCaffrey of Microsoft Research demonstrates applying the L-BFGS optimization algorithm to the ML logistic regression technique for binary classification -- predicting one of two possible ...
CU Boulder News & Events

Regression for Binary and Count Data: Logistic and Poisson Regression

"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count data. The most ...
JSTOR Daily

A GENERALIZED LINEAR MIXED MODEL FOR LONGITUDINAL BINARY DATA WITH A MARGINAL LOGIT LINK FUNCTION

This is a preview. Log in through your library . Abstract Longitudinal studies of a binary outcome are common in the health, social, and behavioral sciences. In general, a feature of random effects ...
technologynetworks

Linear Regression

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...
Visual Studio Magazine

Logistic Regression Using PyTorch with L-BFGS

The Data Science Lab Logistic Regression Using PyTorch with L-BFGS Dr. James McCaffrey of Microsoft Research demonstrates applying the L-BFGS optimization algorithm to the ML logistic regression ...