Dr. James McCaffrey of Microsoft Research kicks off a series of four articles that present a complete end-to-end production-quality example of binary classification using a PyTorch neural network, ...

There are many other techniques for binary classification, but using a decision tree is very common and the technique is considered a fundamental machine learning skill for data scientists. There are ...

Error-Correcting Output Codes (ECOC) provide a robust framework for decomposing multi-class classification challenges into multiple binary sub-problems. By constructing a codematrix that assigns ...

In this paper we propose principal weighted support vector machines, a unified framework for linear and nonlinear sufficient dimension reduction in binary classification. Its asymptotic properties are ...

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 ...