Human-in-the-Loop Machine Learning

5 Advanced active learning

This chapter covers

• Combining uncertainty sampling and diversity sampling techniques
• Using active transfer learning to sample the most uncertain and the most representative items
• Implementing adaptive transfer learning within an active learning cycle

In chapters 3 and 4, you learned how to identify where your model is uncertain (what your model knows it doesn’t know) and what is missing from your model (what your model doesn’t know that it doesn’t know). In this chapter, you learn how to combine these techniques into a comprehensive active learning strategy. You also learn how to use transfer learning to adapt your models to predict which items to sample.

5.1 Combining uncertainty sampling and diversity sampling ...