This is stars and forks stats for /PacktPublishing/Applied-Machine-Learning-Explainability-Techniques repository. As of 03 May, 2024 this repository has 212 stars and 79 forks.
Packt Conference : Put Generative AI to work on Oct 11-13 (Virtual) 3 Days, 20+ AI Experts, 25+ Workshops and Power Talks Code: USD75OFF Applied Machine Learning Explainability Techniques This is the code repository for Applied Machine Learning Explainability Techniques, published by Packt. Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more What is this book about? Explainable AI (XAI) is an emerging field that brings artificial intelligence (AI) closer...
Packt Conference : Put Generative AI to work on Oct 11-13 (Virtual) 3 Days, 20+ AI Experts, 25+ Workshops and Power Talks Code: USD75OFF Applied Machine Learning Explainability Techniques This is the code repository for Applied Machine Learning Explainability Techniques, published by Packt. Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more What is this book about? Explainable AI (XAI) is an emerging field that brings artificial intelligence (AI) closer...
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