Molnar, Christoph

"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 interpretabl…

Interpretable machine learning: a guide for making black box models explainable

by Molnar, Christoph

0 Type: Book

Subjects

Apprentissage automatique (6) Machine learning (6) Maschinelles Lernen (4) Blackbox (3) Intelligence artificielle (3) Apprentissage supervisé (Inte… (2) Supervised learning (Machine … (2) artificial intelligence (2) Apprendimento meccanico (1) Aprendizaje automático (1) Aprendizaje automático (Intel… (1) Intelligenza artificiale -- A… (1) Intel·ligència artificial (1) Intel·ligència artificial -- … (1)

Contributor

Molnar, Christoph (14)

Publisher

Leanpub (7) Christoph Molnar (3) Lulu (3) Lean Publishing (1) Munich (1)

Year

2022 (4) 2020 (5) 2019 (5)

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Molnar, Christoph

Interpretable machine learning: a guide for making Black Box Models interpretable

Interpretable machine learning: a guide for making black box models explainable

Interpretable machine learning: a guide for making black box models explainable

Interpretable machine learning: a guide for making Black Box Models interpretable

Interpretable Machine Learning: a guide for making black box models interpretable

Interpretable machine learning: a guide for making black box models explainable

Interpretable machine learning: a guide for making black box models explainable

Interpretable machine learning: a guide for making black box models explainable

Interpretable machine learning: a guide for making black box models explainable

Interpretable machine learning: a guide for making black box models explainable

Interpretable machine learning: a guide for making black box models explainable

Interpretable machine learning: a guide for making black box models explainable

Interpretable machine learning: a guide for making black box models explainable

Interpretable machine learning: a guide for making black box models explainable

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