Visual Studio Magazine

Binary Classification Using PyTorch: Preparing Data

The Data Science Lab Binary Classification Using PyTorch: Preparing Data Dr. James McCaffrey of Microsoft Research kicks off a series of four articles that present a complete end-to-end ...
JSTOR Daily

Principal weighted support vector machines for sufficient dimension reduction in binary classification

This is a preview. Log in through your library . Abstract Sufficient dimension reduction is popular for reducing data dimensionality without stringent model assumptions. However, most existing methods ...
JSTOR Daily

Discrimination and Classification Using Both Binary and Continuous Variables

The likelihood ratio classification rule is derived from the location model, applicable when the data contains both binary and continuous variables. A method is proposed for estimating the rule in ...
Visual Studio Magazine

Binary Classification Using PyTorch: Preparing Data

The goal of a binary classification problem is to predict an output value that can be one of just two possible discrete values, such as "male" or "female." This article is the first in a series of ...