Description
Explore the frontier of Explainable AI (XAI) with this comprehensive guide, bridging the gap between artificial intelligence and non-technical users. Delve into various explanation methods and their evaluation, and learn to apply data-centric XAI for practical solutions. Gain hands-on experience with tools like LIME, SHAP, TCAV, DALEX, ALIBI, and DiCE. Discover industrial best practices and address open challenges using recommended guidelines. This essential resource promotes AI transparency and trustworthiness, making AI adoption easier for both industry and research applications. Perfect for anyone looking to understand and implement explainable machine learning systems.
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