Understand the principles of efficient algorithms for dealing with large scale data sets and be able to select appropriate algorithms for specific problems. Understand and be able to apply the main ...

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 ...

It utilizes a tree-based data structure to store and process data across clusters with thousands of individual nodes. It features a Linux-based file system, which makes it compatible with ext3, ext4, ...

A decision tree classifier is a machine learning (ML) prediction system that generates rules such as "IF income < 28.0 AND education >= 14.0 THEN politicalParty = 2." Using a decision tree classifier ...