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- Interpretable AI: Building explainable machin...
Item #:
184017833
Interpretable AI: Building explainable machine learning systems
Item #:
184017833
USD 79
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Interpretable AI opens up the black box of your AI models, teaching techniques that ensure compliance, combat bias, and improve trust in results.
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Product Details
| Publisher | Manning |
| Publication date | July 5, 2022 |
| Language | English |
| Print length | 328 pages |
| ISBN-10 | 161729764X |
| ISBN-13 | 978-1617297649 |
| Item Weight | 1.34 pounds (610 grams) |
| Dimensions | 7.38 x 0.8 x 9.25 inches (18.7 x 2 x 23.5 cm) |
Product Description
Interpretable AI: Building explainable machine learning systems
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Customer Questions & Answers
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Question:
What are the main topics covered in the book?
Answer: The book covers interpreting white box models, model-agnostic methods, bias mitigation, and building GDPR-compliant AI systems. -
Question:
Who is the target audience for this book?
Answer: The book is intended for data scientists and engineers who have some familiarity with Python and machine learning. -
Question:
What additional resource comes with the print book?
Answer: Purchasing the print book includes a free eBook in PDF, Kindle, and ePub formats.
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USD 79
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Features & Benefits
- Learn practical techniques to make AI models interpretable.
- Improve transparency and combat bias for increased trust.
- Ensure compliance with legal requirements like GDPR.
- Discover methods for interpreting both simple and complex AI models.
- Includes a free eBook with purchase for easy access.
- Tailored for data scientists familiar with Python and machine learning.
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