Explainable Machine Learning Models (79 results)

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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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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.

Paperback. Condition: Good. Explainable AI is a set of techniques used to demystify the outcome of machine learning and AI models, making algorithms more trustworthy and transparent by justifying model predictions. This book helps you to learn how to design explainable ML systems for industrial applications considering the best practices.…

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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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Paperback. Condition: Good. Explainable AI is a set of techniques used to demystify the outcome of machine learning and AI models, making algorithms more trustworthy and transparent by justifying model predictions. This book helps you to learn how to design explainable ML systems for industrial applications considering the best practices.…

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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.…

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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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.

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: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

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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.…

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.…