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Interpretable Machine Learning A Guide for Making Black Box Models Explainable

Paperback • 2022 • English

Interpretable Machine Learning A Guide for Making Black Box Models Explainable

By Christoph Molnar

0 Ratings • 0.0 of 5

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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

Social theory
Psychological theory, systems, schools and viewpoints
Machine learning

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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