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Generative Artificial Intelligence and Explainable Artificial Intelligence for Real-world Applications|Ramkumar Rajendran

Generative Artificial Intelligence and Explainable Artificial Intelligence for Real-world Applications

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Overview

The text focuses on the methodologies of generative artificial intelligence, and explainable artificial intelligence, providing readers with an understanding of how artificial intelligence models can be transparent and interpretable. It explores various XAI techniques, feature importance, SHAP values, LIME, and counterfactual explanations.

This item is Non-Returnable

Details

  • ISBN-13: 9781041068761
  • ISBN-10: 104106876X
  • Publisher: CRC Press
  • Publish Date: October 2026
  • Dimensions: 9.21 x 6.14 x 1.06 inches
  • Shipping Weight: 1.86 pounds
  • Page Count: 460

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