Why You Should Switch to Interpretable Models for Accurate and Transparent Results 🔍

This lecture focuses mainly on the face that interpretable models can be created to be as accurate as black box models, both for tabular and raw data. The video has a focus on 2 techniques for interpretable neural networks: case-based reasoning and neural disentanglement.