logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Introduction to Responsible AI: Implement Ethical AI Using Python by Manure, Avinash, Bengani, Shaleen, S, Saravanan ISBN 9781484299821, 9781484299814, 1484299825, 1484299817

  • SKU: EBN-55720964
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.7

31 reviews
Instant download (eBook) Introduction to Responsible AI: Implement Ethical AI Using Python after payment.
Authors:Manure, Avinash, Bengani, Shaleen, S, Saravanan
Pages:193 pages.
Year:2023
Editon:1
Publisher:Apress
Language:english
File Size:1.21 MB
Format:epub
ISBNS:9781484299821, 9781484299814, 1484299825, 1484299817
Categories: Ebooks

Product desciption

(Ebook) Introduction to Responsible AI: Implement Ethical AI Using Python by Manure, Avinash, Bengani, Shaleen, S, Saravanan ISBN 9781484299821, 9781484299814, 1484299825, 1484299817

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. What You Will Learn Understand the principles of responsible AI and their importance in today's digital world Master techniques to detect and mitigate bias in AI Explore methods and tools for achieving transparency and explainability Discover best practices for privacy preservation and security in AI Gain insights into designing robust and reliable AI models Who This Book Is For AI practitioners, data scientists, machine learning engineers, researchers, policymakers, and students interested in the ethical aspects of AI
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products