Summary

After reading this chapter, you should now understand how to leverage data engineering to enhance interpretability, regularization to reduce overfitting, and constraints to comply with policies. The primary end goals are to place guardrails and curb the complexity that hinders interpretability.

In the next chapter, we will look at ways to enhance model reliability through adversarial robustness.