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Download Introduction to Responsible AI by Avinash Manure in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Introduction to Responsible AI
Learn and implement responsible AI models using Python. This book will teach you how to balance ethical challenges with opportunities in Artificial Intelligence. The book starts with an introduction to the fundamentals of AI, with special emphasis given to the key principles of responsible AI. The authors then walk you through the critical issues of detecting and mitigating bias, making AI decisions understandable, preserving privacy, ensuring security, and designing robust models. Along the way, you’ll gain an overview of tools, techniques, and code examples to implement the key principles you learn in real-world scenarios. The book concludes with a chapter devoted to fostering a deeper understanding of responsible AI’s profound implications for the future. Each chapter offers a hands-on approach, enriched with practical insights and code snippets, enabling you to translate ethical considerations into actionable solutions. For AI practitioners, data scientists, machine learning engineers, researchers, policymakers, and students interested in the ethical aspects of AI.
Detailed Information
| Author: | Avinash Manure |
|---|---|
| Pages: | 158 |
| Language: | English |
| File Size: | 16 |
| Format: | |
| Price: | FREE |
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