Cracking the Box: Interpreting Black Box Machine Learning Models
Machine LearningModelingblack boxblack box machine learningMachine Learningposted by Yuriy Gavrilin August 7, 2019
Intro To kick off this article, I’d like to explain the interpretability of a machine learning (ML) model. According to Merriam-Webster, interpretability describes the process of making something plain or understandable. In the context of ML, interpretability provides us with an understandable explanation of how a... Read more