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Paperback • 2022 • English
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About the book
"Machine learning has great potential for improving products, processes and research. But computers usually do not explain their predictions which is a barrier to the adoption of machine learning. This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. The focus of the book is on model-agnostic methods for i...Show more
Book details
ISBN
9798411463330
Publisher
Christoph Molnar
Published year
2022
Language
English
Original title
Interpretable Machine Learning A Guide for Making Black Box Models Explainable
Format
Paperback
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0 Ratings • 0.0 of 5