Revolutionizing Data Labeling with Snorkel

This chapter explores the Snorkel framework, designed to simplify the generation of labeled training data for machine learning models. It emphasizes the role of subject matter experts in creating labeling functions, transforming traditional data annotation into a more efficient coding-based system. The discussion highlights Snorkel's applications in fields like natural language processing and radiology, showcasing its potential to enhance machine learning outcomes through innovative labeling strategies.