Explainable Artificial Intelligence : An Introduction to Interpretable Machine Learning / Uday Kamath, Dr. John Liu
Publication year: 2021
ISBN: 978-3-030-83356-5
Internet Resource: Please Login to download book
Offers a curriculum for introducing interpretability to machine learning at every stage. The authors provide compelling examples that a core teaching practice like leading interpretive discussions can be taught and learned by teachers and sustained effort. And what better way to strengthen the quality of AI and Machine learning outcomes. I hope that this book will become a primer for teachers, data Science educators, and ML developers, and together we practice the art of interpretive machine learning.
Subject: Artificial Intelligence, Machine Learning, Interpretability of models, Explainability, Intrinsic methods, Model-agnostic methods, Deep learning methods, Interpretable Machine Learning Models
