Summary
In this chapter, we covered key techniques such as uncertainty sampling, query-by-committee, EMC, EER, and density weighting for designing effective active ML query strategies. Moving forward, in the next chapter, our focus will shift toward exploring strategies for managing the human in the loop. It is essential to optimize the interactions with the oracle labeler to ensure maximum efficiency in the active ML process. By understanding the intricacies of human interaction and leveraging this knowledge to streamline the labeling process, we can significantly enhance the efficiency and effectiveness of active ML algorithms.In the next chapter we will discuss how to manage the role of human labelers in active ML.
