737: scikit-learn's Past, Present and Future, with scikit-learn co-founder Dr. Gaël Varoquaux
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
The Importance of Inspectable Machine Learning Models in Banking and Insurance
The chapter emphasizes the need for machine learning models to be auditable, especially in regulated industries like banking and insurance. It explores the development of model interpretation tools, documentation in plain English, and understanding how to effectively interpret linear models. The chapter also delves into the significance of default hyperparameters in scikit-learn models, the evolution of setting defaults, and recommendations for beginners on adjusting parameters for improved accuracy.
Transcript
Play full episode
