Machine Learning
2 milestones in AI history
ResearchTheoretical Foundations
Samuel's Checkers Program
Arthur Samuel created a checkers-playing program at IBM that could learn from experience, improving its play over time. He coined the term 'machine learning' to describe programs that learn without being explicitly programmed.
Arthur SamuelIBM
ResearchQuiet Emergence
Support Vector Machines
Vapnik and Cortes published their work on Support Vector Machines (SVMs), a method for finding maximum-margin decision boundaries in high-dimensional spaces with unusually strong theoretical guarantees. SVMs quickly became one of the leading approaches for classification problems across text, vision, and bioinformatics.
Vladimir VapnikCorinna CortesAT&T Bell Labs