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 ...

The Man-Machine Framework. Too often, systems for information analysis and process automation fail because they are not designed as a whole system with people and machines working in harmony.

This article breaks down the machine learning problem known as Learning to Rank and can teach you how to build your own web ranking algorithm. ... a boosted decision tree ensemble.

The alternating decision tree learning algorithm. in Proceedings of the 16th International Conference on Machine Learning, (eds. Bratko, I. & Džeroski, S.) 124–133 (Morgan Kaufmann, San ...

Amanda Coston is a PhD student in Machine Learning and Public Policy at Carnegie Mellon University (CMU). She is interested in how machine learning and causal inference can improve decision-making in ...