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 ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A multi-class classification problem is one where the goal is to predict the ...

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 ...

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

Using machine learning to predict mortality in older patients with cancer: Decision tree and random forest analyses from the ELCAPA and ONCODAGE prospective cohorts. Authors: Etienne Audureau, ...

Machine learning can be leveraged to ensure personalized experiences and product recommendations, but decision and process automation that implements a retailer’s business goals, policies, and ...