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 ...

When it comes to AI, more and more companies are facing a choice: whether to develop a project using a traditional approach (predefined rules) or with the implementation of ML (teaching machines ...

Engineers will continue to apply machine learning and deep learning, seeing where it can take them in terms of yield improvements and process control, but they are just one tool in the toolbox.” ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk.

Recent scientific article explores the use of machine learning techniques to identify the key risk factors associated with ...

This study published in Robot Learning has been focused on water analysis using the combination of decision making and machine learning for a recently developed robotic system. The unique procedure ...