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- Author: Parikshit Narendra Mahalle
- Publisher: River Publishers
- ISBN-10: 8770047138
- ISBN-13: 9788770047135
- Format: 15.6 x 23.4 x 0.6 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Explainable Artificial Intelligence: A Practical Guide (e-book) (used book) | bookbook.eu
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Description
This book explores the growing focus on artificial intelligence (AI) systems in both industry and academia. It evaluates and justifies AI applications while enhancing trust in AI outcomes and aiding comprehension of AI feature development. Key topics include an overview of explainable AI, black-box model understanding, interpretability techniques, practical XAI applications, and future trends and challenges in XAI.
Technical topics discussed in the book include:
- Explainable AI overview
- Understanding black-box models
- Techniques for model interpretability
- Practical applications of XAI
- Future trends and challenges in XAI.
EXTRA 10 % discount with code: EXTRA
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- Author: Parikshit Narendra Mahalle
- Publisher: River Publishers
- ISBN-10: 8770047138
- ISBN-13: 9788770047135
- Format: 15.6 x 23.4 x 0.6 cm, minkšti viršeliai
- Language: English English
This book explores the growing focus on artificial intelligence (AI) systems in both industry and academia. It evaluates and justifies AI applications while enhancing trust in AI outcomes and aiding comprehension of AI feature development. Key topics include an overview of explainable AI, black-box model understanding, interpretability techniques, practical XAI applications, and future trends and challenges in XAI.
Technical topics discussed in the book include:
- Explainable AI overview
- Understanding black-box models
- Techniques for model interpretability
- Practical applications of XAI
- Future trends and challenges in XAI.
Reviews