Applied Machine Learning Explainability Techniques - Make ML models explainable and trustworthy for practical applications

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[ DevCourseWeb.com ] Applied Machine Learning Explainability Techniques - Make ML models explainable and trustworthy for practical applications
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Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications



https://DevCourseWeb.com

English | 2022 | ISBN: ‎ 1803246154 | 306 pages | True PDF EPUB | 23.26 MB

Leverage top XAI frameworks to explain your machine learning models with ease and discover best practices and guidelines to build scalable explainable ML systems

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Applied Machine Learning Explainability Techniques - Make ML models explainable and trustworthy for practical applications

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Applied Machine Learning Explainability Techniques - Make ML models explainable and trustworthy for practical applications

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