Author: Pradeepta Mishra

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Explainable AI Recipes: Implement Solutions to Model Explainability and Interpretability with Python Front Cover

Explainable AI Recipes: Implement Solutions to Model Explainability and Interpretability with Python

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  • Length: 278 pages
  • Publication Date: 2023-03-04
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PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models, 2nd Edition Front Cover

PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models, 2nd Edition

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  • Length: 290 pages
  • Publication Date: 2022-12-22
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Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks Front Cover

Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks

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  • Length: 362 pages
  • Publication Date: 2022-01-07
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PyTorch Recipes: A Problem-Solution Approach Front Cover

PyTorch Recipes: A Problem-Solution Approach

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  • Length: 184 pages
  • Publication Date: 2019-02-14
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R: Mining spatial, text, web, and social media data Front Cover

R: Mining spatial, text, web, and social media data

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  • Length: 992 pages
  • Publication Date: 2017-06-19
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R Data Mining Projects Front Cover

R Data Mining Projects

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  • Length: 260 pages
  • Publication Date: 2016-07-29
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