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kamath u explainable artificial intelligence introduction 2021

Type:: E-books
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Uploaded On:: Dec. 17, 2021, 1:59 p.m.
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Textbook in PDF format This book is written both for readers entering the field, and for practitioners with a background in AI and an interest in developing real-world applications. The book is a great resource for practitioners and researchers in both industry and academia, and the discussed case studies and associated material can serve as inspiration for a variety of projects and hands-on assignments in a classroom setting. I will certainly keep this book as a personal resource for the courses I teach, and strongly recommend it to my students. Introduction to Interpretability and Explainability Pre-model Interpretability and Explainability Model Visualization Techniques and Traditional Interpretable Algorithms Model Interpretability: Advances in Interpretable Machine Learning Post-Hoc Interpretability and Explanations Explainable Deep Learning Explainability in Time Series Forecasting, Natural Language Processing, and Computer Vision XAI: Challenges and Future

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Kamath U. Explainable Artificial Intelligence..Introduction 2021.pdf 11.7 MB

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kamath u explainable artificial intelligence introduction 2021

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