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.

Machine Learning. AdobeStock_245601545. Every day we hear about new ways automation is transforming businesses and customer-facing applications – for example, insurance claims processing or ...

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 ...

Google needed a decision-making framework which enabled individual humans, groups of humans, and machines to make wise decisions. Such a process didn’t yet exist. So the company decided to build it.

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 ...