Top 6 Best Interpretable Machine Learning

Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples

Explainable AI with Python

Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps

Hands-On Explainable AI (XAI) with Python: Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps

Random Forests with R (Use R!)

Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms

Practical Threat Intelligence and Data-Driven Threat Hunting: A hands-on guide to threat hunting with the ATT&CK™ Framework and open source tools

Feature Engineering and Selection: A Practical Approach for Predictive Models (Chapman & Hall/CRC Data Science Series)

Statistical Learning from a Regression Perspective (Springer Texts in Statistics)

Interpretable Machine Learning: A Guide For Making Black Box Models Explainable