By The Gradient -
2020-11-21
A broad overview of the sub-field of machine learning interpretability; conceptual frameworks, existing research, and future directions.
By Medium -
2020-11-05
Here is what you tell them.
By KDnuggets -
2020-11-04
The terms “interpretability,” “explainability” and “black box” are tossed about a lot in the context of machine learning, but what do they really mean, and why do they matter?
By Google AI Blog -
2020-11-20
Posted by James Wexler, Software Developer and Ian Tenney, Software Engineer, Google Research As natural language processing (NLP) models...
By fast -
2020-08-21
Making neural nets uncool again
By MachineCurve -
2021-02-02
Explanations and code examples showing you how to use K-fold Cross Validation for Machine Learning model evaluation/testing with PyTorch.
