After earlier explaining how to compute disorder and split data in his exploration of machine learning decision tree classifiers, resident data scientist Dr. James McCaffrey of Microsoft Research now ...

Using a decision tree classifier from a machine learning library is often awkward because it usually must be customized and library decision trees have many complex supporting functions, says resident ...

Machine learning is a tremendous resource for researchers. Yet not understanding the limitations of data and algorithms can lead to erroneous conclusions.

Gary Drenik: What is the difference between decision automation, machine learning and digital process automation? How do they all work together?

Machine learning, a field of artificial intelligence (AI), is the idea that a computer program can adapt to new data independently of human action.

Applying them effectively means selecting the right model (decision tree, nearest neighbor, neural net, support vector machine, ensemble of multiple models) and a learning procedure to fit the ...

Aside from the obvious efficiency benefits that AI and machine learning present, there are a number of other advantages to be realized. Data-driven decision making offers the ability to validate a ...