Human-In-the-Loop Machine Learning

Human-in-the-Loop Machine Learning provides techniques for integrating human feedback into machine learning systems, focusing on annotation, active learning, transfer learning, and optimizing the entire machine learning process.

The book covers best practices for selecting sample data, quality control for annotations, and designing effective interfaces for data annotation.