Human-in-the-Loop Machine Learning by Robert Monarch Edition with Active Learning Strategies Annotation Guides Updated For Academic Year 2026/2027

Explore Human-in-the-Loop Machine Learning: Active Learning and Annotation for Human-Centered AI, a comprehensive guide by Robert (Munro) Monarch. This resource details strategies for understanding model uncertainty, recruiting annotators, managing annotation quality with Krippendorff’s alpha, and implementing active learning across architectures like SVMs and Bayesian Models. Ideal for data scientists and ML engineers seeking to optimize human-centered AI workflows.