What AI says about Supervised Machine Learning For Science

Supervised Machine Learning For Science is a book by Christoph Molnar and Timo Freiesleben that explores how to justify and integrate supervised machine learning into scientific research. It addresses challenges like interpretability, causality, and uncertainty quantification while providing solutions for making machine learning a robust scientific tool.