The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...

Download this O’Reilly eBook to learn to make the most of recent and disruptive breakthroughs in debugging, explainability, fairness, and interpretability techniques for machine learning.

Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical ...

XAI provides techniques, processes and systems that allow humans to trust and have confidence in machine ... and interpretability in AI? Back in 2015, scientists applied deep learning to 700,000 ...

adjunct professor and co-author of the recent O'Reilly booklet "An Introduction to Machine Learning Interpretability," will be speaking at the upcoming NYC Big Data Science Meetup, held in ...

Download this O’Reilly eBook to learn to make the most of recent and disruptive breakthroughs in debugging, explainability, fairness, and interpretability techniques for machine learning.