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 ...

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 = ...

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 each ...

We describe a class of binary codes that canbe effectively used for asynchronous data transmission. The codesare defined for any odd code length by a regular algorithm, whichis based on properties of ...

Gray code is a systematic ordering of binary numbers in a way that each successive value differs from the previous one in ...

We may receive a commission on purchases made from links. If you don't already know how computers work, it may seem like an unapproachable subject. It's the kind of high-level science and math that ...

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 ...

Those ones and zeros might not look like anything to you, but in binary code the numbers are actually saying “Hello!” Any code that uses just two symbols to represent information is considered binary ...