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 ...

Four new methods for classification of multivariate binary data are presented, based on an orthogonal expansion of the density in terms of discrete Fourier series. The performance of these methods in ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Nowadays, there is a universe of open-source projects consisting of code, libraries and ...

GitHub and JFrog announced a partnership on Wednesday that will see a deeper integration between the two companies’ platforms, giving developers and their support teams an easier way to manage both ...