Data Labeling for Machine Learning and AI: Optimizing for Quality, Cost, and Speed
Machine Learning (ML) is a type of artificial intelligence (Al) software that is designed to automate, streamline, and improve processes. In ML applications, machines use data and algorithms to imitate how humans learn in order to improve the accuracy of the models and produce better outcomes over time.
Until fairly recently, ML was mostly found in the computer science labs and R&D centers of government agencies and major corporations. But that has all changed.