Scientists are raising red flags about the accuracy and reproducibility of conclusions drawn by machine learning frameworks. Among the remedies are developing new ML systems that can question their own predictions, show their work and reproduce results.
Source: datanami.com
Author: George Leopold
Categories: Articles