Forbes contributors publish independent expert analyses and insights. I write about the broad intersection of data and society. Facebook’s explanations for how its heavily promoted AI algorithms ...

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 = ...

Training a Large Scale Classifier with the Quantum Adiabatic Algorithm (14 page pdf) In a previous publication we proposed discrete global optimization as a method to train a strong binary classifier ...

Dr. James McCaffrey of Microsoft Research explains how to train a network, compute its accuracy, use it to make predictions and save it for use by other programs. This is the second of two articles ...

Quantum information scientists have introduced a new method for machine learning classifications in quantum computing. The non-linear quantum kernels in a quantum binary classifier provide new ...

Binary and hexadecimal numbers systems underpin the way modern computer systems work. Low-level interactions with hexadecimal (hex) and binary are uncommon in the world of Java programming, but ...