Interpretable Machine Learning with Python can help you overcome these challenges, using interpretation methods to build fairer and safer ML models. This book covers the following exciting features: ...

If so, then Interpretable Machine Learning with Python deserves a place on your bookshelf. We’ll be starting off with the fundamentals of interpretability, its relevance in business, and exploring its ...

SHAP: Explain Any Machine Learning Model in Python https: ... — Mike Tamir, PhD (@MikeTamir) February 27, 2022 Local Interpretable Model-Independent Explanations.

Recent developments in machine learning have resulted in more complicated predictive models, typically at the expense of interpretability. Interpretability is frequently required, especially in ...

Auto-ViML is a library for building high-performance interpretable machine learning models that are built using the python language. The name Auto-ViML can be separated into automatic variable ...

The Perspectives article, "Applying Interpretable Machine Learning in Computational Biology - Pitfalls, Recommendations and Opportunities for New Developments," is featured in the journal's August ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Machine Learning: Considerations for fairly and transparently expanding access to credit; A Responsible Machine Learning Workflow with Focus on Interpretable Models, Post-hoc Explanation, and ...