Visualizing Model Interpretability

Visualization is crucial for making machine learning models interpretable to humans. Enrico highlights the importance of creating effective visual representations that help users navigate complex decision spaces. Additionally, he discusses the growing focus on visualizing neural networks, enabling researchers to understand and optimize their architectures better.