J. Ross Quinlan

J. Ross Quinlan is a computer scientist known for developing decision tree algorithms in machine learning, such as ID3 and C4.5. These algorithms analyze data to automatically discover patterns and create models that can classify or predict outcomes based on given information. Quinlan's work has significantly contributed to how computers learn from data, facilitating applications like medical diagnosis, credit scoring, and customer segmentation. His methods are valued for their transparency and effectiveness, enabling users to understand how decisions are made by the model.