Debugging Machine Learning Models with Python

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Human-in-the-Loop Machine Learning

Machine learning modeling is more than just machine learning developers and engineers sitting behind their computers to build and revise components of a machine learning life cycle. Incorporating feedback from domain experts, or even the non-expert crowd, is key in bringing more reliable and application-oriented models to production. This concept, which is called human-in-the-loop machine learning, is about benefiting from human intelligence and expert knowledge in different stages of a life cycle to further improve the performance and reliability of our models.

In this chapter, we will cover the following topics:

• Humans in the machine learning life cycle
• Human-in-the-loop modeling

By the end of this chapter, ...