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Paperback. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
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Explainable AI Solutions: Creating Transparent and Trustworthy Machine Learning Models
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 26.43
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paperback. Condition: Very good condition. very clean,fast ship.
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Explainable and Interpretable Models in Computer Vision and Machine Learning.
Book 4 of 8: The Springer Series on Challenges in Machine LearningSeller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 4 out of 5 stars
XVII, 299 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. The Springer Series on Challenges in Machine Learning. Sprache: Englisch.
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Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
paperback. Condition: Very Good.
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Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more (Paperback or Softback)
Language: English
Published by Packt Publishing 7/29/2022, 2022
ISBN 10: 1803246154 ISBN 13: 9781803246154
Paperback or Softback. Condition: New. Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more. Book.
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Condition: As New. Unread book in perfect condition.
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Interpretable Machine Learning with Python - Second Edition: Build explainable, fair, and robust high-performance models with hands-on, real-world exa (Paperback or Softback)
Language: English
Published by Packt Publishing 10/31/2023, 2023
ISBN 10: 180323542X ISBN 13: 9781803235424
Paperback or Softback. Condition: New. Interpretable Machine Learning with Python - Second Edition: Build explainable, fair, and robust high-performance models with hands-on, real-world exa. Book.
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Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 59.04
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Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more
Language: English
Published by Packt Publishing 2022-07-29, 2022
ISBN 10: 1803246154 ISBN 13: 9781803246154
US$ 54.63
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Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Interpretable Machine Learning with Python: Build explainable, fair, and robust high-performance models with hands-on, real-world examples
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Meaningful Machine Learning: A Guide for Making Models Explainable
Language: English
Published by LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200102414 ISBN 13: 9786200102416
Condition: New.
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Explainable and Interpretable Models in Computer Vision and Machine Learning (The Springer Series on Challenges in Machine Learning)
Book 4 of 8: The Springer Series on Challenges in Machine LearningSeller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Gebundene Ausgabe. Condition: Sehr gut. Gebraucht - Sehr gut - ungelesen,als Mängelexemplar gekennzeichnet, mit leichten Mängeln an Schnitt oder Einband durch Lager- oder Transportschaden -This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning.Springer Fachmedien Wiesbaden GmbH, Abraham-Lincoln-Str. 46, 65189 Wiesbaden 316 pp. Englisch.
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Taschenbuch. Condition: Neu. Explainable Graph Neural Networks for Fraud Detection | Integrating XAI into Graph-Based Machine Learning Models for Financial Security | Thaer Alkassab | Taschenbuch | Englisch | 2025 | GlobeEdit | EAN 9786137806364 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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Explainable and Interpretable Models in Computer Vision and Machine Learning
Book 4 of 8: The Springer Series on Challenges in Machine LearningLanguage: English
Published by Springer International Publishing, 2019
ISBN 10: 3319981307 ISBN 13: 9783319981307
Condition: New. Presents a snapshot of explainable and interpretable models in the context of computer vision and machine learningCovers fundamental topics to serve as a reference for newcomers to the fieldOffers successful methodologies, with appli.
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Meaningful Machine Learning | A Guide for Making Models Explainable
Language: English
Published by LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200102414 ISBN 13: 9786200102416
Taschenbuch. Condition: Neu. Meaningful Machine Learning | A Guide for Making Models Explainable | Binit Patel | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786200102416 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Explainable and Interpretable Models in Computer Vision and Machine Learning
Book 4 of 8: The Springer Series on Challenges in Machine LearningLanguage: English
Published by Springer-Verlag GmbH, 2018
ISBN 10: 3319981307 ISBN 13: 9783319981307
Condition: Hervorragend. Zustand: Hervorragend | Seiten: 299 | Sprache: Englisch | Produktart: Bücher | This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning.Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made? what in the model structure explains its functioning? Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision. This book, written by leading international researchers, addresses key topics of explainability and interpretability, including the following: · Evaluation and Generalization in Interpretable Machine Learning· Explanation Methods in Deep Learning· Learning Functional Causal Models with Generative Neural Networks· Learning Interpreatable Rules for Multi-Label Classification· Structuring Neural Networks for More Explainable Predictions· Generating Post Hoc Rationales of Deep Visual Classification Decisions· Ensembling Visual Explanations· Explainable Deep Driving by Visualizing Causal Attention· Interdisciplinary Perspective on Algorithmic Job Candidate Search· Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions · Inherent Explainability Pattern Theory-based Video Event Interpretations.
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Explainable Machine Learning: A Guide to Understanding the Interpretability of Black-Box Models(Chinese Edition)
Language: English
Published by Electronic Industry Press, 2024
ISBN 10: 7121490145 ISBN 13: 9787121490149
paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2024-10 Pages: 272 Publisher: Publishing House of Electronics Industry While machine learning holds great potential for improving product performance. product processes. and advancing research. it still faces a major obstaclecomputers cannot interpret their predictions. Therefore. this book aims to clarify how to make machine learning models and their decisions interpretable. The book explores the concept of interpretability and introduces many simple int.
