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 ...

In this paper, a decision-tree-oriented mechanism is developed for that purpose, enabling digital guidance for students to observe and classify real-world objects in the learning activities of natural ...

1. From 'Simulating Humans' to 'Data-Driven': The Ultimate Goal and Implementation Path of AI ...

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 ...

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