Explore the core concepts and key skills of human-in-the-loop machine learning, including how to successfully implement and manage a data annotation project.
Executive Guide to Human-in-the-Loop Machine Learning and Data Annotation
Overview
Syllabus
Introduction
- Meet the human-in-the-loop
- Human-in-the-loop is everywhere
- What is supervised machine learning?
- Defining human-in-the-loop
- The rise of human-in-the-loop
- Healthcare use cases
- Autonomous use cases
- Natural language use cases
- Reinforcement learning with human feedback (RLHF)
- The world of data annotation vendors
- Data annotation as a skill
- The ethics of data annotation
- Data annotation software vendors
- Quality control
- Sampling
- Considerations when managing your own project
- Being data-centric
- Next steps
Taught by
Keith McCormick
